Association Models With Few Variables

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Association Models With Few Variables

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Author : Nanny Wermuth
language : de
Publisher:
Release Date : 1991

Association Models With Few Variables written by Nanny Wermuth and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with categories.

Statistical Models For Ordinal Variables

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Author : Clifford C. Clogg
language : en
Publisher: SAGE Publications, Incorporated
Release Date : 1994-02-28

Statistical Models For Ordinal Variables written by Clifford C. Clogg and has been published by SAGE Publications, Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-02-28 with Mathematics categories.

How should data involving response variables of many ordered categories be analyzed? What technique would be most useful in analyzing partially ordered variables regarded as dependent variables? Addressing these and other related concerns in social and survey research, Clogg and Shihadeh explore the statistical analysis of data involving dependent variables that can be coded into discrete, ordered categories, such as "agree," "uncertain," "disagree," or in other similar ways. The authors emphasize the applications of new models and methods for the analysis of ordinal variables and cover general procedures for assessing goodness-of-fit, review the independence model and the saturated model, define measures of association, demonstrate the logit versions of the model, and develop association models as well as logit-type regression models. Aimed at helping researchers formulate models that take account of the ordering of the levels of the variables, this book is appropriate for readers familiar with log-linear analysis and logit regression.

Practical Statistics For Data Scientists

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Author : Peter Bruce
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-05-10

Practical Statistics For Data Scientists written by Peter Bruce and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-10 with Computers categories.

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data

Measures Of Association And Regression Models For Ordinal Variables

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Author : Yi-Lin Chiu
language : en
Publisher:
Release Date : 1997

Measures Of Association And Regression Models For Ordinal Variables written by Yi-Lin Chiu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with categories.

To allow statistical inferences, this research finds large sample normality and derives asymptotic standard error formulas for measures of association and regression coefficients in multiple dimensions. The consistency of the estimators for asymptotic standard errors is also proven.

Multivariate General Linear Models

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Author : Richard F. Haase
language : en
Publisher: SAGE Publications
Release Date : 2011-11-23

Multivariate General Linear Models written by Richard F. Haase and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-23 with Mathematics categories.

Multivariate General Linear Models is an integrated introduction to multivariate multiple regression analysis (MMR) and multivariate analysis of variance (MANOVA). Beginning with an overview of the univariate general linear model, this volume defines the key steps in analyzing linear model data, and introduces multivariate linear model analysis as a generalization of the univariate model. The author focuses on multivariate measures of association for four common multivariate test statistics, presents a flexible method for testing hypotheses on models, and emphasizes the multivariate procedures attributable to Wilks, Pillai, Hotelling, and Roy. The volume concludes with a discussion of canonical correlation analysis that is shown to subsume all the multivariate procedures discussed in previous chapters. The analyses are illustrated throughout the text with three running examples drawing from several disciples, including personnel psychology, anthropology, environmental epidemiology, and neuropsychology.

Tree Models Of Similarity And Association

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Author : James E. Corter
language : en
Publisher: SAGE
Release Date : 1996-04-02

Tree Models Of Similarity And Association written by James E. Corter and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-04-02 with Medical categories.

Clustering and tree models are widely used in the social and biological sciences to analyze similarity relations. Tree Models of Similarity and Association describes how matrices of similarities or associations among entities can be modeled using trees, and to explain some of the issues that arise in performing such analyses and correctly interpreting the results. James E. Corter clearly distinguishes ultrametric trees (fit by the techniques widely known as "hierarchical clustering") from additive trees and discusses how specific aspects of each type of tree can be interpreted through the use of applications as examples. He concludes with a discussion of when tree models might be preferable to spatial geometric models, such as those fit by multidimensional scaling (MDS) or principal components analysis (PCA).

Graphical Models For Associations Between Variables Some Ofwhich Are Qualitative And Some Quantitative

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Author : Steffen L. Lauritzen
language : en
Publisher:
Release Date : 1987

Graphical Models For Associations Between Variables Some Ofwhich Are Qualitative And Some Quantitative written by Steffen L. Lauritzen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with categories.

Fixed Effects Regression Models

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Author : Paul D. Allison
language : en
Publisher: SAGE Publications
Release Date : 2009-04-22

Fixed Effects Regression Models written by Paul D. Allison and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-22 with Social Science categories.

This book demonstrates how to estimate and interpret fixed-effects models in a variety of different modeling contexts: linear models, logistic models, Poisson models, Cox regression models, and structural equation models. Both advantages and disadvantages of fixed-effects models will be considered, along with detailed comparisons with random-effects models. Written at a level appropriate for anyone who has taken a year of statistics, the book is appropriate as a supplement for graduate courses in regression or linear regression as well as an aid to researchers who have repeated measures or cross-sectional data.

Subset Selection In Regression

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Author : Alan Miller
language : en
Publisher: CRC Press
Release Date : 2002-04-15

Subset Selection In Regression written by Alan Miller and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-04-15 with Mathematics categories.

Originally published in 1990, the first edition of Subset Selection in Regression filled a significant gap in the literature, and its critical and popular success has continued for more than a decade. Thoroughly revised to reflect progress in theory, methods, and computing power, the second edition promises to continue that tradition. The author ha

Graphical Models For Associations Between Variables Some Of Which Are Qualitative And Some Quantitative

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Author : Nanny Wermuth
language : en
Publisher:
Release Date : 1987

Graphical Models For Associations Between Variables Some Of Which Are Qualitative And Some Quantitative written by Nanny Wermuth and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with categories.