Practical Basics of Statistical Analysis
|
|
|
- Alyson Amie Austin
- 5 years ago
- Views:
Transcription
1 Practical Basics of Statistical Aalysis David Keffer Dept. of Materials Sciece & Egieerig The Uiversity of Teessee Koxville, TN Goveror s School Uiversity of Teessee, Koxville Jue 14, 2018
2 Purpose Use a materials example to explore basic statistical tools icludig Mea Stadard deviatio Stadard error Histograms Regressio
3 Material Properties have a Probability Distributio Example: Cosider a property like the strai at which fracture occurs i a compoet. stress Stress vs. strai curve typical of alumium 1. Ultimate tesile stregth 2. Yield stregth 3. Proportioal limit stress 4. Fracture 5. Offset strai (typically 0.2%) strai Your Task: Determie the strai at fracture.
4 Material Properties have a Probability Distributio What if two shifts use differet heat treatig procedures resultig i compoets with two differet fracture strais? The distributio of fracture strais could look somethig like this: This true probability distributio is ukow! How ca you ivestigate it?
5 Samplig Iformatio about the distributio of a property ca be obtaied from samplig. The Quality Assurace (QA) egieer tests a umber of compoets ad records the strai at fracture. A mea or average ca be evaluated. x x x x x x i1 x i sample # measuremet mea
6 Mea Value The estimate of the mea gets better with more sample poits mea
7 Mea Value Eve a fairly accurate mea, calculated with a lot of sample poits, ca t reveal the shape of the uderlyig distributio. We might like more iformatio tha the mea provides.
8 Stadard Deviatio The stadard deviatio provides the lowest order descriptio of the distributio of the data aroud the mea. s s x x i i1 2 mea stadard mea deviatio
9 Stadard Deviatio The estimate of the stadard deviatio reaches a costat with more sample poits. stadard mea deviatio x s
10 Stadard Deviatio The stadard deviatio i this example reflects a broad distributio of possible results. We might like more iformatio tha the mea ad stadard deviatio provide.
11 Distributio of the Sample Mea The cetral limit theorem states that, give certai coditios, the arithmetic mea of a sufficietly large umber of iterates of idepedet radom variables, each with a well-defied expected value ad well-defied variace, will be approximately ormally distributed. ormal distributio
12 Stadard Error The stadard deviatio provides a descriptio of the distributio of the data aroud the mea. SE s mea mea stadard deviatio stadard error
13 Stadard Error The stadard error is a measure of ucertaity i the sample mea. The stadard error becomes smaller with more sample poits stadard mea error x SE
14 Stadard Error The stadard error represets your ucertaity i the sample mea, but does ot tell you much about the actual distributio.. We might like more iformatio tha the mea ad stadard error provide.
15 Histograms Iformatio about the distributio of a property ca be obtaied from samplig. The Quality Assurace (QA) egieer tests a umber of compoets ad records the strai at fracture. A histogram ca be created. sample # measuremet
16 Histograms become more accurate with more samplig
17 Regressio A liear regressio provides the coefficiets for a liear model relatig a depedet ad idepedet variable. y mx b Cosider the strai at fracture for a series of compoets i which the heat treatmet time is varied. f mt b If we ca fid the missig coefficiets (slope ad itercept) the we ca use them to predict the strai at fracture for a give heat treatmet time. sample treatmet time strai at fracture
18 Regressio Frequetly, the results of a regressio are preseted as a plot. The R 2 Measure of Fit is boud betwee 0 (o fit) ad 1 (perfect fit).
19 Documet Access These slides ad a sample excel file presetig examples for Mea Stadard deviatio Stadard error Histograms Regressio are located olie at
Concepts Module 7: Comparing Datasets and Comparing a Dataset with a Standard
Cocepts Module 7: Comparig Datasets ad Comparig a Dataset with a Stadard Idepedece of each data poit Test statistics Cetral Limit Theorem Stadard error of the mea Cofidece iterval for a mea Sigificace
Objectives. Sampling Distributions. Overview. Learning Objectives. Statistical Inference. Distribution of Sample Mean. Central Limit Theorem
Objectives Samplig Distributios Cetral Limit Theorem Ivestigate the variability i sample statistics from sample to sample Fid measures of cetral tedecy for distributio of sample statistics Fid measures
How is the President Doing? Sampling Distribution for the Mean. Now we move toward inference. Bush Approval Ratings, Week of July 7, 2003
Samplig Distributio for the Mea Dr Tom Ilveto FREC 408 90 80 70 60 50 How is the Presidet Doig? 2/1/2001 4/1/2001 Presidet Bush Approval Ratigs February 1, 2001 through October 6, 2003 6/1/2001 8/1/2001
Statistics Lecture 13 Sampling Distributions (Chapter 18) fe1. Definitions again
fe1. Defiitios agai Review the defiitios of POPULATIO, SAMPLE, PARAMETER ad STATISTIC. STATISTICAL IFERECE: a situatio where the populatio parameters are ukow, ad we draw coclusios from sample outcomes
Statistics 11 Lecture 18 Sampling Distributions (Chapter 6-2, 6-3) 1. Definitions again
Statistics Lecture 8 Samplig Distributios (Chapter 6-, 6-3). Defiitios agai Review the defiitios of POPULATION, SAMPLE, PARAMETER ad STATISTIC. STATISTICAL INFERENCE: a situatio where the populatio parameters
Appendix C: Concepts in Statistics
Appedi C. Measures of Cetral Tedecy ad Dispersio A8 Appedi C: Cocepts i Statistics C. Measures of Cetral Tedecy ad Dispersio Mea, Media, ad Mode I may real-life situatios, it is helpful to describe data
Estimation and Confidence Intervals
Estimatio ad Cofidece Itervals Chapter 9 McGraw-Hill/Irwi Copyright 2010 by The McGraw-Hill Compaies, Ic. All rights reserved. GOALS 1. Defie a poit estimate. 2. Defie level of cofidece. 3. Costruct a
Chapter 21. Recall from previous chapters: Statistical Thinking. Chapter What Is a Confidence Interval? Review: empirical rule
Chapter 21 What Is a Cofidece Iterval? Chapter 21 1 Review: empirical rule Chapter 21 5 Recall from previous chapters: Parameter fixed, ukow umber that describes the populatio Statistic kow value calculated
Chapter 8 Descriptive Statistics
8.1 Uivariate aalysis ivolves a sigle variable, for examples, the weight of all the studets i your class. Comparig two thigs, like height ad weight, is bivariate aalysis. (Which we will look at later)
Sec 7.6 Inferences & Conclusions From Data Central Limit Theorem
Sec 7. Ifereces & Coclusios From Data Cetral Limit Theorem Name: The Cetral Limit Theorem offers us the opportuity to make substatial statistical predictios about the populatio based o the sample. To better
Statistical Analysis and Graphing
BIOL 202 LAB 4 Statistical Aalysis ad Graphig Aalyzig data objectively to determie if sets of data differ ad the to preset data to a audiece succictly ad clearly is a major focus of sciece. We eed a way
Lecture Outline. BIOST 514/517 Biostatistics I / Applied Biostatistics I. Paradigm of Statistics. Inferential Statistic.
BIOST 514/517 Biostatistics I / Applied Biostatistics I Kathlee Kerr, Ph.D. Associate Professor of Biostatistics iversity of Washigto Lecture 11: Properties of Estimates; Cofidece Itervals; Stadard Errors;
STATISTICAL ANALYSIS & ASTHMATIC PATIENTS IN SULAIMANIYAH GOVERNORATE IN THE TUBER-CLOSES CENTER
March 3. Vol., No. ISSN 37-3 IJRSS & K.A.J. All rights reserved STATISTICAL ANALYSIS & ASTHMATIC PATIENTS IN SULAIMANIYAH GOVERNORATE IN THE TUBER-CLOSES CENTER Dr. Mohammad M. Faqe Hussai (), Asst. Lecturer
23.3 Sampling Distributions
COMMON CORE Locker LESSON Commo Core Math Stadards The studet is expected to: COMMON CORE S-IC.B.4 Use data from a sample survey to estimate a populatio mea or proportio; develop a margi of error through
Review for Chapter 9
Review for Chapter 9 1. For which of the followig ca you use a ormal approximatio? a) = 100, p =.02 b) = 60, p =.4 c) = 20, p =.6 d) = 15, p = 2/3 e) = 10, p =.7 2. What is the probability of a sample
5/7/2014. Standard Error. The Sampling Distribution of the Sample Mean. Example: How Much Do Mean Sales Vary From Week to Week?
Samplig Distributio Meas Lear. To aalyze how likely it is that sample results will be close to populatio values How probability provides the basis for makig statistical ifereces The Samplig Distributio
Sampling Distributions and Confidence Intervals
1 6 Samplig Distributios ad Cofidece Itervals Iferetial statistics to make coclusios about a large set of data called the populatio, based o a subset of the data, called the sample. 6.1 Samplig Distributios
EDEXCEL NATIONAL CERTIFICATE UNIT 28 FURTHER MATHEMATICS FOR TECHNICIANS OUTCOME 1- ALGEBRAIC TECHNIQUES TUTORIAL 3 - STATISTICAL TECHNIQUES
EDEXCEL NATIONAL CERTIFICATE UNIT 8 FURTHER MATHEMATICS FOR TECHNICIANS OUTCOME 1- ALGEBRAIC TECHNIQUES TUTORIAL 3 - STATISTICAL TECHNIQUES CONTENTS Be able to apply algebraic techiques Arithmetic progressio
Reporting Checklist for Nature Neuroscience
Correspodig Author: Mauscript Number: Mauscript Type: Galea NNA48318C Article Reportig Checklist for Nature Neurosciece # Figures: 4 # Supplemetary Figures: 2 # Supplemetary Tables: 1 # Supplemetary Videos:
GOALS. Describing Data: Numerical Measures. Why a Numeric Approach? Concepts & Goals. Characteristics of the Mean. Graphic of the Arithmetic Mean
GOALS Describig Data: umerical Measures Chapter 3 Dr. Richard Jerz Calculate the arithmetic mea, weighted mea, media, ad mode Explai the characteristics, uses, advatages, ad disadvatages of each measure
Sample Size Determination
Distributio of differece betwee sample meas Vijar Føebø Distributio of differece betwee two sample meas. Your variable is: ( x x ) Differece betwee sample meas The statistical test to be used would be:
JUST THE MATHS UNIT NUMBER STATISTICS 3 (Measures of dispersion (or scatter)) A.J.Hobson
JUST THE MATHS UNIT NUMBER 8.3 STATISTICS 3 (Measures of dispersio (or scatter)) by A.J.Hobso 8.3. Itroductio 8.3.2 The mea deviatio 8.3.3 Practica cacuatio of the mea deviatio 8.3.4 The root mea square
Statistics for Managers Using Microsoft Excel Chapter 7 Confidence Interval Estimation
Statistics for Maagers Usig Microsoft Excel Chapter 7 Cofidece Iterval Estimatio 1999 Pretice-Hall, Ic. Chap. 7-1 Chapter Topics Cofidece Iterval Estimatio for the Mea (s Kow) Cofidece Iterval Estimatio
CHAPTER 8 ANSWERS. Copyright 2012 Pearson Education, Inc. Publishing as Addison-Wesley
CHAPTER 8 ANSWERS Sectio 8.1 Statistical Literacy ad Critical Thikig 1 The distributio of radomly selected digits from to 9 is uiform. The distributio of sample meas of 5 such digits is approximately ormal.
Objectives. Types of Statistical Inference. Statistical Inference. Chapter 19 Confidence intervals: Estimating with confidence
Types of Statistical Iferece Chapter 19 Cofidece itervals: The basics Cofidece itervals for estiatig the value of a populatio paraeter Tests of sigificace assesses the evidece for a clai about a populatio.
A Supplement to Improved Likelihood Inferences for Weibull Regression Model by Yan Shen and Zhenlin Yang
A Supplemet to Improved Likelihood Ifereces for Weibull Regressio Model by Ya She ad Zheli Yag More simulatio experimets were carried out to ivestigate the effect of differet cesorig percetages o the performace
Performance Improvement in the Bivariate Models by using Modified Marginal Variance of Noisy Observations for Image-Denoising Applications
PROCEEDING OF WORLD ACADEM OF CIENCE, ENGINEERING AND ECHNOLOG VOLUME 5 APRIL 005 IN 307-6884 Performace Improvemet i the Bivariate Models by usig Modified Margial Variace of Noisy Observatios for Image-Deoisig
Chapter 8 Student Lecture Notes 8-1
Chapter 8 tudet Lecture Notes 8-1 Basic Busiess tatistics (9 th Editio) Chapter 8 Cofidece Iterval Estimatio 004 Pretice-Hall, Ic. Chap 8-1 Chapter Topics Estimatio Process Poit Estimates Iterval Estimates
Bayesian Sequential Estimation of Proportion of Orthopedic Surgery of Type 2 Diabetic Patients Among Different Age Groups A Case Study of Government
Bayesia Sequetial Estimatio of Proportio of Orthopedic Surgery of Type Diabetic Patiets Amog Differet Age Groups A Case Study of Govermet Medical College, Jammu-Idia Roohi Gupta, Priyaka Aad ad *Rahul
Standard deviation The formula for the best estimate of the population standard deviation from a sample is:
Geder differeces Are there sigificat differeces betwee body measuremets take from male ad female childre? Do differeces emerge at particular ages? I this activity you will use athropometric data to carry
Study No.: Title: Rationale: Phase: Study Period: Study Design: Centres: Indication: Treatment: Objectives: Primary Outcome/Efficacy Variable:
UM27/189/ The study listed may iclude approved ad o-approved uses, formulatios or treatmet regimes. The results reported i ay sigle study may ot reflect the overall results obtaied o studies of a product.
Chapter 7 - Hypothesis Tests Applied to Means
Chapter 7 - Hypothei Tet Applied to Mea 7.1 Ditributio of 100 radom umber: mea(dv) = 4.46 t. dev(dv) =.687 var(dv) = 7. 7.3 Doe the Cetral Limit Theorem work? The mea ad tadard deviatio of the ample are
Should We Care How Long to Publish? Investigating the Correlation between Publishing Delay and Journal Impact Factor 1
Should We Care How Log to Publish? Ivestigatig the Correlatio betwee Publishig Delay ad Joural Impact Factor 1 Jie Xu 1, Jiayu Wag 1, Yuaxiag Zeg 2 1 School of Iformatio Maagemet, Wuha Uiversity, Hubei,
Estimating Means with Confidence
Today: Chapter, cofidece iterval for mea Aoucemet Ueful ummary table: Samplig ditributio: p. 353 Cofidece iterval: p. 439 Hypothei tet: p. 534 Homework aiged today ad Wed, due Friday. Fial exam eat aigmet
GSK Medicine Study Number: Title: Rationale: Study Period: Objectives: Primary Secondary Indication: Study Investigators/Centers: Research Methods
The study listed may iclude approved ad o-approved uses, formulatios or treatmet regimes. The results reported i ay sigle study may ot reflect the overall results obtaied o studies of a product. Before
Lecture 4: Distribution of the Mean of Random Variables
Experece has show that a certa le detector wll show a postve readg (so you are lyg) 0% of the tme whe a perso s tellg the truth ad 95% of the tme whe a perso s actually lyg. Suppose 0 suspects are subjected
Measures of Spread: Standard Deviation
Measures of Spread: Stadard Deviatio So far i our study of umerical measures used to describe data sets, we have focused o the mea ad the media. These measures of ceter tell us the most typical value of
GSK Medicine: Study Number: Title: Rationale: Study Period: Objectives: Indication: Study Investigators/Centers: Research Methods:
The study listed may iclude approved ad o-approved uses, mulatios or treatmet regimes. The results reported i ay sigle study may ot reflect the overall results obtaied o studies of a product. Bee prescribig
Caribbean Examinations Council Secondary Education Certificate School Based Assessment Additional Math Project
Caribbea Examiatios Coucil Secodary Educatio Certificate School Based Assessmet Additioal Math Project Does good physical health ad fitess, as idicated by Body Mass Idex, affect the academic performace
Chapter 7 - Hypothesis Tests Applied to Means
Chapter 7 - Hypothei Tet Applied to Mea 7.1 Ditributio of 100 radom umber: mea(dv) = 4.46 t. dev(dv) =.687 var(dv) = 7. 7.3 Doe the Cetral Limit Theorem work? The mea ad tadard deviatio of the ample are
Fracture of underwater notched structures
Egieerig Solid Mechaics 4 (2016) 43-52 Cotets lists available at GrowigSciece Egieerig Solid Mechaics homepage: www.growigsciece.com/esm Fracture of uderwater otched structures M.M. Mirsayar a* ad Behrouz
Chapter 23 Summary Inferences about Means
U i t 6 E x t e d i g I f e r e c e Chapter 23 Summary Iferece about Mea What have we leared? Statitical iferece for mea relie o the ame cocept a for proportio oly the mechaic ad the model have chaged.
Intro to Scientific Analysis (BIO 100) THE t-test. Plant Height (m)
THE t-test Let Start With a Example Whe coductig experimet, we would like to kow whether a experimetal treatmet had a effect o ome variable. A a imple but itructive example, uppoe we wat to kow whether
5.1 Description of characteristics of population Bivariate analysis Stratified analysis
Chapter 5 Results Page umbers 5.1 Descriptio of characteristics of populatio 121-123 5.2 Bivariate aalysis 123-131 5.3 Stratified aalysis 131-133 5.4 Multivariate aalysis 134-135 5.5 Estimatio of Attributable
Effect of Preparation Conditions of Activated Carbon Prepared from Rice Husk by ZnCl 2 Activation for Removal of Cu (II) from Aqueous Solution
Iteratioal Joural of Egieerig & Techology IJET-IJENS Vol:10 No:06 8 Effect of Preparatio Coditios of Activated Carbo Prepared from Rice Husk by ZCl Activatio for Removal of Cu (II) from Aqueous Solutio
IMPAIRED THEOPHYLLINE CLEARANCE IN PATIENTS WITH COR PULMONALE
Br. J. cli. Pharmac. (1979), 7, 33--37 IMPAIRED THEOPHYLLINE CLEARANCE IN PATIENTS WITH COR PULMONALE N. VICUNA,1 J.L. McNAY,l T.M. LUDDEN2 & H. SCHWERTNER3 'Divisio of Cliical Pharmacology, Departmets
Quantitative Evaluation of Stress Corrosion Cracking Based on Features of Eddy Current Testing Signals
E-Joural of Advaced Maiteace Vol.9-2 (2017) 78-83 Japa Society of Maiteology Quatitative Evaluatio of Stress Corrosio Crackig Based o Features of Eddy Curret Testig Sigals Li WANG 1,* ad Zhemao CHEN 2
Confidence Intervals and Point Estimation
Cofidece Iterval ad Poit Etimatio x ε < µ < x + ε ε = z σ x ε < µ < x + ε ε = t ν,, ν = 1 = z σ ε ˆp ε < p < ˆp + ε ε = z ˆp ˆq = z ε pq ( 1) < σ < ( 1), ν = 1 χ ν, χ ν, 1 ( x 1 x ) ε < µ 1 µ < ( x 1 x
Basic Requirements. of meeting cow herd production and profitability goals for the beef cattle enterprise.
Basic Requiremets It is imperative that cattle producers have a adequate uderstadig of the basic utriet requiremets of the cow herd to make iformed ad effective utritio-related decisios. by Matt Hersom,
A longitudinal study of self-assessment accuracy
The teachig eviromet A logitudial study of self-assessmet accuracy James T Fitzgerald, Casey B White & Larry D Gruppe Aim Although studies have examied medical studets ability to self-assess their performace,
Introduction. The Journal of Nutrition Methodology and Mathematical Modeling
The Joural of Nutritio Methodology ad Mathematical Modelig The Populatio Distributio of Ratios of Usual Itakes of Dietary Compoets That Are Cosumed Every Day Ca Be Estimated from Repeated 24-Hour Recalls
Technical Assistance Document Algebra I Standard of Learning A.9
Techical Assistace Documet 2009 Algebra I Stadard of Learig A.9 Ackowledgemets The Virgiia Departmet of Educatio wishes to express sicere thaks to J. Patrick Liter, Doa Meeks, Dr. Marcia Perry, Amy Siepka,
Research on the effects of aerobics on promoting the psychological development of students based on SPSS statistical analysis
Available olie www.jocpr.com Joural of Chemical ad Pharmaceutical Research, 04, 6(6):837-844 Research Article ISSN : 0975-7384 CODEN(USA) : JCPRC5 Research o the effects of aerobics o promotig the psychological
Gamma and inverse Gaussian frailty models: A comparative study
Iteratioal Joural of Mathematics ad Statistics Ivetio (IJMSI) E-ISSN: 3 4767 P-ISSN: 3-4759 Volume 4 Issue 4 April. 06 PP-40-05 Gamma ad iverse Gaussia frailty models: A comparative study Samia A. Adham,
Methodology National Sports Survey SUMMARY
Methodology 017 Natioal Sports Survey Prepared by Priceto Survey Research Associates Iteratioal for the Washigto Post ad the Uiversity of Massachusetts Lowell August 017 SUMMARY The 017 Natioal Sports
A Method to Determine Cortical Bone Thickness of Human Femur and Tibia Using Clinical CT Scans. Wenjing Du, Jinhuan Zhang, Jingwen Hu
A Method to Determie Cortical Boe Thickess of Huma Femur ad Tibia Usig Cliical CT Scas Wejig Du, Jihua Zhag, Jigwe Hu Abstract Femur ad tibia fractures, are commoly see i motor vehicle crashes. Cortical
EFSA Guidance for BMD analysis Fitting Models & Goodness of Fit
EFSA Guidace for BMD aalysis Fittig Models & Goodess of Fit 1 st March 2017 OUTLINE Geeral priciples of model fittig & goodess of fit Cotiuous dose-respose data Cell proliferatio (CP) data Cadidate models
Chapter - 8 BLOOD PRESSURE CONTROL AND DYSLIPIDAEMIA IN PATIENTS ON DIALYSIS
Chapter - BLOOD PRESSURE CONTROL AND DYSLIPIDAEMIA IN PATIENTS ON DIALYSIS S. Prasad Meo Hooi Lai Seog Lee Wa Ti Suita Bavaada ST REPORT OF THE MALAYSIAN DIALYSIS AND TRANSPLANT REGISTRY SECTION.: BLOOD
Somatic cell score genetic parameter estimates of dairy cattle in Portugal using fractional polynomials 1
Published December 4, 214 Somatic cell score geetic parameter estimates of dairy cattle i Portugal usig fractioal polyomials 1 A. M. Martis, 2 A. M. Silvestre, M. F. Petim-Batista, ad J. A. Colaço Departmet
Rheological Characterization of Fiber Suspensions Prepared from Vegetable Pulp and Dried Fibers. A Comparative Study.
ANNUAL TRANSACTIONS OF THE NORDIC RHEOLOGY SOCIETY, VOL. 3, 5 Rheological Characterizatio of Fiber Suspesios Prepared from Vegetable Pulp ad Dried Fibers. A Comparative Study. Elea Bayod, Ulf Bolmstedt
Supplemental Figure 1: Flow cytometry gating strategy for CCR/CXCR homing receptors
Supplemetal Figure 1: Flow cytometry gatig strategy for CCR/CXCR homig receptors First, we discrimiated cells based o size scatter ad, after exclusio of doublet cells ad dead cells, as well as o cells
Measurement Variability in Duplex Scan Assessment of Carotid Atherosclerosis
Measuremet Variability i Duplex Sca Assessmet of Carotid Atherosclerosis Kim Sutto-Tyrrell, DrPH; Sidey K. Wolfso Jr., MD; Tria Thompso, BSN, RVT; ad Sheryl F. Kelsey, PhD Backgroud ad Purpose: The reproducibility
Estimation of changes in instantaneous aortic blood flow by the analysis of arterial blood pressure
Estimatio of chages i istataeous aortic blood flow by the aalysis of arterial blood pressure The MIT Faculty has made this article opely available. lease share how this access beefits you. Your story matters.
Estimation Of Population Total Using Model-Based Approach: A Case Of HIV/AIDS In Nakuru Central District, Kenya
Estimatio Of Populatio otal Usig Model-Based Approach: A Case Of HIV/AIDS I akuru Cetral District, Keya Lagat Reube Cheruiyot, oui Beard Cheruiyot, Lagat Jaet Jepchumba Abstract: I this study we have explored
Biopharmaceutics Classification System (BCS) Biowaiver Assessment Report
Biopharmaceutics Classificatio System (BCS) Biowaiver Assessmet Report Bioequivalece Workig Group Versio 1- Feb 10, 2017 Versio Descriptio of Chage Author Effective Date v 1 Origial publicatio BE WG Feb
Finite Element Simulation of a Doubled Process of Tube Extrusion and Wall Thickness Reduction
World Joural of Mechaics, 13, 3, 5- http://dx.doi.org/1.3/wjm.13.35 Published lie August 13 (http://www.scirp.org/joural/wjm) Fiite Elemet Simulatio of a Doubled Process of Tube Extrusio ad Wall Thickess
DISTRIBUTION AND PROPERTIES OF SPERMATOZOA IN DIFFERENT FRACTIONS OF SPLIT EJACULATES*
FERTILITY AND STERILITY Copyright 1972 by The Williams & Wilkis Co. Vol. 23, No.4, April 1972 Prited i U.S.A. DISTRIBUTION AND PROPERTIES OF SPERMATOZOA IN DIFFERENT FRACTIONS OF SPLIT EJACULATES* R. ELIASSON,
DEVELOPMENT AND VALIDATION OF A SUBJECT-SPECIFIC FINITE ELEMENT MODEL OF THE PELVIS: ASSESSMENT OF MODEL SENSITVITY
DEVELOPMENT AND VALIDATION OF A SUBJECT-SPECIFIC FINITE ELEMENT MODEL OF THE PELVIS: ASSESSMENT OF MODEL SENSITVITY A.E. Aderso 1, C.L. Peters 2, B.D. Tuttle 3, ad J.A. Weiss 4,5 ABSTRACT The objectives
Routing-Oriented Update SchEme (ROSE) for Link State Updating
948 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 56, NO. 6, JUNE 28 Routig-Orieted Update SchEme () for Lik State Updatig Nirwa Asari, Gag Cheg, ad Na Wag Abstract Few works have bee reported to address the
Availability and use of electrotherapy devices: A survey. Syed Ghulam Sarwar Shah, Alexandra Farrow, Alan Esnouf
Cliical Availability ad use of electrotherapy devices: A survey Syed Ghulam Sarwar Shah, Alexadra Farrow, Ala Esouf Electrophysical agets such as radiofrequecy electromagetic fields (shortwave ad microwave),
Retention in HIV care among a commercially insured population,
Retetio i HIV care amog a commercially isured populatio, 2006-2012 Kathy Byrd, MD, MPH 10th Iteratioal Coferece o HIV Treatmet ad Prevetio Adherece Jue 28 30, 2015 Natioal Ceter for HIV/AIDS, Viral Hepatitis,
Measuring Dispersion
05-Sirki-4731.qxd 6/9/005 6:40 PM Page 17 CHAPTER 5 Measurig Dispersio PROLOGUE Comparig two groups by a measure of cetral tedecy may ru the risk for each group of failig to reveal valuable iformatio.
Hypertension in patients with diabetes is a well recognized
Cotrol of Hypertesio amog Type II Diabetics Kawther El-Shafie, Sayed Rizvi Abstract Objectives: Numerous studies have cofirmed the high prevalece of hypertesio amog type 2 diabetics, ad that itesive hypertesive
Copy of: Proc. IEEE 1998 Int. Conference on Microelectronic Test Structures, Vol.11, March 1998
Copy of: Proc. IEEE 998 It. Coferece o Microelectroic Test Structures, Vol., March 998 Wafer Level efect esity istributio Usig Checkerboard Test Structures Christopher Hess, Larg H. Weilad Istitute of
Maximum Likelihood Estimation of Dietary Intake Distributions
CARD Workig Papers CARD Reports ad Workig Papers 8-1992 Maximum Likelihood Estimatio of Dietary Itake Distributios Jeffrey D. Helterbrad Iowa State Uiversity Follow this ad additioal works at: http://lib.dr.iastate.edu/card_workigpapers
Copper Complexation of Humic Substances Generated in a Landfill Site that is Mainly for Municipal Solid Waste Incineration Residue Disposal
Copper Complexatio of Humic Substaces Geerated i a Ladfill Site that is Maily for Muicipal Solid Waste Icieratio Residue Disposal Fumitake TAKAHASHI*, Kazuya YOKOHATA**, Takayuki SHIMAOKA* *Faculty of
Outline. Neutron Interactions and Dosimetry. Introduction. Tissue composition. Neutron kinetic energy. Neutron kinetic energy.
Outlie Neutro Iteractios ad Dosimetry Chapter 16 F.A. Attix, Itroductio to Radiological Physics ad Radiatio Dosimetry Neutro dosimetry Thermal eutros Itermediate-eergy eutros Fast eutros Sources of eutros
The Suicide Note: Do unemployment rates affect suicide rates? Author: Sarah Choi. Course: A World View of Math and Data Analysis
The Suicide Note: Do uemploymet rates affect suicide rates? Author: Sarah Choi Course: A World View of Math ad Data Aalysis Istructors: Dr. Joh R. Taylor, Mrs. Desiré J. Taylor ad Mrs. Christia L. Turer
The US population aged 75 years or more has
551 Blood Pressure Chage ad Survival After Age 75 Robert D. Lager, Michael H. Criqui, Elizabeth L. Barrett-Coor, Melville R. Klauber, Theodore G. Gaiats Higher diastolic pressure predicted better survival
Methodology CHAPTER OUTLINE
Methodology 2 CHAPTER OUTLINE LEARNING OBJECTIVES INTRODUCTION SOME FUNDAMENTALS Research methods ad statistics Carryig out quality research The role of theory i psychology DESIGNING EXPERIMENTS IN PSYCHOLOGY
An Automatic Denoising Method with Estimation of Noise Level and Detection of Noise Variability in Continuous Glucose Monitoring
Preprit, 11th IFAC Symposium o Dyamics ad Cotrol of Process Systems, icludig Biosystems Jue 6-8, 16. NTNU, Trodheim, Norway A Automatic Deoisig Method with Estimatio of Noise Level ad Detectio of Noise
Reviewing of the Relationship Between Body Mass Index and High Blood Pressure of Patients
Iteratioal Joural of Statistics ad Actuarial Sciece 207; (): 9-23 http://www.sciecepublishiggroup.com/j/ijsas doi: 0.648/j.ijsas.20700.4 Reviewig of the Relatioship Betwee Body Mass Idex ad High Blood
How important is the acute phase in HIV epidemiology?
How importat is the acute phase i HIV epidemiology? Bria G. Williams South Africa Cetre for Epidemiological Modellig ad Aalysis (SACEMA), Stellebosch, Wester Cape, South Africa Correspodece should be addressed
Fax: ; INTRODUCTION. 38 Copyright 2006 C.M.B. Edition
Cellular ad Molecular Biology TM 52, N 6, 38-43 ISSN 1165-158X DOI 10.1170/T736 2006 Cell. Mol. Biol. TM STATISTICAL APPROACH TO BOAR SEMEN EVALUATION USING INTRACELLULAR INTENSITY DISTRIBUTION OF HEAD
ENTERIC METHANE CONVERSION FACTOR FOR DAIRY
ENTERIC METHANE CONVERSION FACTOR FOR DAIRY AND BEEF CATTLE: EFFECTS OF FEED DIGESTIBILITY AND INTAKE LEVEL Z. Liu, Y. Liu, X. Shi, J. Wag, J. P. Murphy, R. Maghirag ABSTRACT. The objectives of this study
Heart Rate Variability in Essential Hypertension Patients with Different Stages by Nonlinear Analysis: A Preliminary Study
Advaces i Biomedical Egieerig Research (ABER) Volume Issue 3, September 203 Heart Rate Variability i Essetial Hypertesio Patiets with Differet Stages by Noliear Aalysis: A Prelimiary Study Pig Shi, Hogliu
Chapter 18 - Inference about Means
Chapter 18 - Iferece about Mea December 1, 2014 I Chapter 16-17, we leared how to do cofidece iterval ad tet hypothei for proportio. I thi chapter we will do the ame for mea. 18.1 The Cetral Limit Theorem
Repeatability of the Glaucoma Hemifield Test in Automated Perimetry
Repeatability of the Glaucoma Hemifield Test i Automated Perimetry Joae Katz,*-\ Harry A. Quigley,^ ad Alfred SommerX Purpose. To examie the cocordace of the Glaucoma Hemifield Test ad other global visual
Autism Awareness Education. April 2018
Autism Awareess Educatio April 2018 What is Autism Autism is a wide-spectrum metal disorder that is talked about every day i health circles, but few really kow all the facts about it. Research cotiues
Small (< 4 cm) Renal Mass: Differentiation of Oncocytoma From Renal Cell Carcinoma on Biphasic Contrast-Enhanced CT
Geitouriary Imagig Origial Research Sasaguri et al. Differetiatig Ococytoma From RCC o Cotrast-Ehaced CT Geitouriary Imagig Origial Research Kohei Sasaguri 1,2 Naoki Takahashi 1 Daiel Gomez-Cardoa 1 Shuai
Public health significance of mixed anxiety and depression: beyond current classification
The British Joural of Psychiatry (2008) 192, 171 177. doi: 10.1192/bjp.bp.107.036707 Public health sigificace of mixed axiety ad depressio: beyod curret classificatio Jayati Das-Mushi, David Goldberg,
Comparison of speed and accuracy between manual and computer-aided measurements of dental arch and jaw arch lengths in study model casts
Compariso of speed ad accuracy betwee maual ad computeraided measuremets (Diah Wibisoo, et.al.) Compariso of speed ad accuracy betwee maual ad computeraided measuremets of detal arch ad jaw arch legths
COMPARISON OF A NEW MICROCRYSTALLINE
Br. J. cli. Pharmac. (1979), 8, 59-64 COMPARISON OF A NEW MICROCRYSTALLINE DICOUMAROL PREPARATION WITH WARFARIN UNDER ROUTINETREATMENTCONDITIO D. LOCKNER & C. PAUL Departmet of Medicie, Thrombosis Uit,
Research Article Study on Food Safety Risk Pre-warning Based on Set-valued Statistics
Advace Joural of Food Sciece ad Techology 04: 245-249, 206 DOI: 0.9026/ajfst.0.2062 ISSN: 2042-4868; e-issn: 2042-4876 206 Maxwell Scietific Publicatio Corp. Submitted: Jauary 25, 205 Accepted: February
Plantar Pressure Difference: Decision Criteria of Motor Relearning Feedback Insole for Hemiplegic Patients
22 4th Iteratioal Coferece o Bioiformatics ad Biomedical Techology IPCBEE vol.29 (22) (22) IACSIT Press, Sigapore Platar Pressure Differece: Decisio Criteria of Motor Relearig Feedback Isole for Hemiplegic
DISCRIMINATIVE EXEMPLAR CLUSTERING
204 IEEE Iteratioal Coferece o Acoustic, Speech ad Sigal Processig (ICASSP) DISCRIMINATIVE EXEMPLAR CLUSTERING Yigzhe Yag, Feg Liag 2, Thomas S. Huag Departmet of Electrical ad Computer Egieerig, Departmet
Improved Ratio and Regression Estimators of the Mean of a Sensitive Variable in Stratified Sampling
tatistics ad Applicatios {I 45-7395 (olie)} Volume 5 os. &, 07 (ew eries), pp 63-78 Improved Ratio ad Regressio Estimators of te Mea of a esitive Variable i tratified amplig Geeta Kaluca, Rita ousa, at
DEGRADATION OF PROTECTIVE GLOVE MATERIALS EXPOSED TO COMMERCIAL PRODUCTS: A COMPARATIVE STUDY OF TENSILE STRENGTH AND GRAVIMETRIC ANALYSES
Califoria State Uiversity, Sa Berardio CSUSB ScholarWorks Electroic Theses, Projects, ad Dissertatios Office of Graduate Studies 9-2014 DEGRADATION OF PROTECTIVE GLOVE MATERIALS EXPOSED TO COMMERCIAL PRODUCTS:
An Approach for Type Synthesis of Overconstrained 1T2R Parallel Mechanisms
A Approach for Type Sythesis of Overcostraied 1T2R Parallel Mechaisms C. Dog 1, H. Liu 1, Q. Liu 1, T. Su 1, T. Huag 1, 2 ad D. G. Chetwyd 2 1 Key Laboratory of Mechaism Theory ad Equipmet Desig of State