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Author : Samuel S. Shapiro
Publisher :
ISBN 13 :
Total Pages : 114 pages
Book Rating : 4.X/5 (6 download)
Download or read book How to Test Normality and Other Distributional Assumptions written by Samuel S. Shapiro and published by . This book was released on 1990 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Testing Distributional Assumptions written by and published by . This book was released on 2007 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : J. P. Verma
Publisher : John Wiley & Sons
ISBN 13 : 1119528410
Total Pages : 224 pages
Book Rating : 4.1/5 (195 download)
Download or read book Testing Statistical Assumptions in Research written by J. P. Verma and published by John Wiley & Sons. This book was released on 2019-04-02 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensively teaches the basics of testing statistical assumptions in research and the importance in doing so This book facilitates researchers in checking the assumptions of statistical tests used in their research by focusing on the importance of checking assumptions in using statistical methods, showing them how to check assumptions, and explaining what to do if assumptions are not met. Testing Statistical Assumptions in Research discusses the concepts of hypothesis testing and statistical errors in detail, as well as the concepts of power, sample size, and effect size. It introduces SPSS functionality and shows how to segregate data, draw random samples, file split, and create variables automatically. It then goes on to cover different assumptions required in survey studies, and the importance of designing surveys in reporting the efficient findings. The book provides various parametric tests and the related assumptions and shows the procedures for testing these assumptions using SPSS software. To motivate readers to use assumptions, it includes many situations where violation of assumptions affects the findings. Assumptions required for different non-parametric tests such as Chi-square, Mann-Whitney, Kruskal Wallis, and Wilcoxon signed-rank test are also discussed. Finally, it looks at assumptions in non-parametric correlations, such as bi-serial correlation, tetrachoric correlation, and phi coefficient. An excellent reference for graduate students and research scholars of any discipline in testing assumptions of statistical tests before using them in their research study Shows readers the adverse effect of violating the assumptions on findings by means of various illustrations Describes different assumptions associated with different statistical tests commonly used by research scholars Contains examples using SPSS, which helps facilitate readers to understand the procedure involved in testing assumptions Looks at commonly used assumptions in statistical tests, such as z, t and F tests, ANOVA, correlation, and regression analysis Testing Statistical Assumptions in Research is a valuable resource for graduate students of any discipline who write thesis or dissertation for empirical studies in their course works, as well as for data analysts.
Author : Dante Amengual
Publisher :
ISBN 13 :
Total Pages : 67 pages
Book Rating : 4.:/5 (129 download)
Download or read book Testing Distributional Assumptions Using a Continuum of Moments written by Dante Amengual and published by . This book was released on 2017 with total page 67 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Alexander Holmes
Publisher :
ISBN 13 : 9781998109487
Total Pages : 0 pages
Book Rating : 4.1/5 (94 download)
Download or read book Introductory Business Statistics (paperback, B&w) written by Alexander Holmes and published by . This book was released on 2023-06-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Printed in b&w. Introductory Business Statistics is designed to meet the scope and sequence requirements of the one-semester statistics course for business, economics, and related majors. Core statistical concepts and skills have been augmented with practical business examples, scenarios, and exercises. The result is a meaningful understanding of the discipline, which will serve students in their business careers and real-world experiences.
Author : Ba M. Chu
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)
Download or read book Testing Distributional Assumptions written by Ba M. Chu and published by . This book was released on 2008 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stein (1972, 1986) provides a flexible method for measuring the deviation of any probability distribution from a given distribution, thus effectively giving the upper bound of the approximation error which can be represented as the expectation of a Stein's operator. Hosking (1990, 1992) proposes the concept of L-moment which better summarizes the characteristics of a distribution than conventional moments (C-moments). The purpose of the paper is to propose new tests for conditional parametric distribution functions with weakly dependent and strictly stationary data generating processes (DGP) by constructing a set of the Stein equations as the L-statistics of conceptual ordered sub-samples drawn from the population sample of distribution; hereafter are referred to as the L-moment (GMLM) tests. The limiting distributions of our tests are nonstandard, depending on test criterion functions used in conditional L-statistics restrictions; the covariance kernel in the tests reflects parametric dependence specification. The GMLM tests can resolve the choice of orthogonal polynomials remaining as an identification issue in the GMM tests using the Stein approximation (Bontemps and Meddahi, 2005, 2006) because L-moments are simply the expectations of quantiles which can be linearly combined in order to characterize a distribution function. Thus, our test statistics can be represented as functions of the quantiles of the conditional distribution under the null hypothesis. In the broad context of goodness-of-fit tests based on order statistics, the methodologies developed in the paper differ from existing methods such as tests based on the (weighed) distance between empirical distribution and a parametric distribution under the null or the tests based on likelihood ratio of Zhang (2002) in two respects: 1) our tests are motivated by the L-moment theory and Stein's method; 2) offer more flexibility because we can select an optimal number of L-moments so that the sample size necessary for a test to attain a given level of power is minimal. Finally, we provide some Monte-Carlo simulations for IID data to examine the size, the power and the robustness of the GMLM test and compare with both existing moment-based tests and tests based on order statistics.
Author : Computer Applications Inc
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (726 download)
Download or read book A User's Manual for a General Purpose Program for Testing Distributional Assumptions written by Computer Applications Inc and published by . This book was released on 1970 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : N. Chidambaram
Publisher :
ISBN 13 :
Total Pages : 6 pages
Book Rating : 4.:/5 (76 download)
Download or read book A Note of a Graphical Method for Testing Distributional Assumptions written by N. Chidambaram and published by . This book was released on 1985 with total page 6 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Henry C. Thode
Publisher : CRC Press
ISBN 13 : 9780203910894
Total Pages : 506 pages
Book Rating : 4.9/5 (18 download)
Download or read book Testing For Normality written by Henry C. Thode and published by CRC Press. This book was released on 2002-01-25 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes the selection, design, theory, and application of tests for normality. Covers robust estimation, test power, and univariate and multivariate normality. Contains tests ofr multivariate normality and coordinate-dependent and invariant approaches.
Author :
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (141 download)
Download or read book Volume 3 written by and published by . This book was released on 1980 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : James Vandiver Bradley
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 410 pages
Book Rating : 4.3/5 (91 download)
Download or read book Distribution-free Statistical Tests written by James Vandiver Bradley and published by Prentice Hall. This book was released on 1968 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: For students, statisticians, and other research workers.
Author : Daniel Navarro
Publisher : Lulu.com
ISBN 13 : 1326189727
Total Pages : 617 pages
Book Rating : 4.3/5 (261 download)
Download or read book Learning Statistics with R written by Daniel Navarro and published by Lulu.com. This book was released on 2013-01-13 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com
Author : Kabir Kalyan Dutta
Publisher :
ISBN 13 :
Total Pages : 108 pages
Book Rating : 4.:/5 (244 download)
Download or read book Leptokurtic Distributions and Tests of Distributional Assumptions written by Kabir Kalyan Dutta and published by . This book was released on 2002 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Vincent Alan Uthoff
Publisher :
ISBN 13 :
Total Pages : 186 pages
Book Rating : 4.:/5 (233 download)
Download or read book Some Scale and Origin Invariant Tests for Distributional Assumptions written by Vincent Alan Uthoff and published by . This book was released on 1968 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : COMPUTER APPLICATIONS INC NEW YORK.
Publisher :
ISBN 13 :
Total Pages : 117 pages
Book Rating : 4.:/5 (227 download)
Download or read book A User's Manual for a General Purpose Program for Testing Distributional Assumptions written by COMPUTER APPLICATIONS INC NEW YORK. and published by . This book was released on 1970 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: The user's manual provides a set of instructions for the use of a general purpose OS/360 FORTRAN H program for testing distributional assumptions. A description of computational procedures for each statistical test is also included as well as a listing of the computer program. The program, which uses the Shapiro-Wilk W-Test for distributional assumptions, is applicable to complete samples of size N, 3>or=N>or=50. (Author).
Author : Lung-Fei Lee
Publisher :
ISBN 13 :
Total Pages : 52 pages
Book Rating : 4.:/5 (255 download)
Download or read book A Test for Distributional Assumptions for the Stochastic Frontier Functions written by Lung-Fei Lee and published by . This book was released on 1981 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Phillip Good
Publisher : Springer Science & Business Media
ISBN 13 : 147573235X
Total Pages : 288 pages
Book Rating : 4.4/5 (757 download)
Download or read book Permutation Tests written by Phillip Good and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: A step-by-step manual on the application of permutation tests in biology, business, medicine, science, and engineering. Its intuitive and informal style make it ideal for students and researchers, whether experienced or coming to these resampling methods for the first time. The real-world problems of missing and censored data, multiple comparisons, nonresponders, after-the-fact covariates, and outliers are all dealt with at length. This new edition has more than 100 additional pages, and includes streamlined statistics for the k-sample comparison and analysis of variance plus expanded sections on computational techniques, multiple comparisons, multiple regression, comparing variances, and testing interactions in balanced designs. The comprehensive author and subject indexes, plus an expert-system guide to methods, provide for further ease of use, while the exercises at the end of every chapter have been supplemented with drills and a number of graduate-level thesis problems.
