BMDP Statistical Software

BMDP Statistical Software PDF Author: Wilfrid Joseph Dixon
Publisher: Univ of California Press
ISBN: 9780520044081
Category : Computers
Languages : en
Pages : 748

Get Book Here

Book Description

BMDP Statistical Software

BMDP Statistical Software PDF Author: Wilfrid Joseph Dixon
Publisher: Univ of California Press
ISBN: 9780520044081
Category : Computers
Languages : en
Pages : 748

Get Book Here

Book Description


BMDP Statistical Software Manual

BMDP Statistical Software Manual PDF Author: Wilfrid Joseph Dixon
Publisher: Univ of California Press
ISBN: 9780520071131
Category : Mathematics
Languages : en
Pages : 784

Get Book Here

Book Description


Introduction to Structural Equation Modeling Using IBM SPSS Statistics and Amos

Introduction to Structural Equation Modeling Using IBM SPSS Statistics and Amos PDF Author: Niels Blunch
Publisher: SAGE
ISBN: 1446271846
Category : Reference
Languages : en
Pages : 314

Get Book Here

Book Description
This comprehensive Second Edition offers readers a complete guide to carrying out research projects involving structural equation modeling (SEM). Updated to include extensive analysis of AMOS′ graphical interface, a new chapter on latent curve models and detailed explanations of the structural equation modeling process, this second edition is the ideal guide for those new to the field. The book includes: Learning objectives, key concepts and questions for further discussion in each chapter. Helpful diagrams and screenshots to expand on concepts covered in the texts. Real life examples from a variety of disciplines to show how SEM is applied in real research contexts. Exercises for each chapter on an accompanying companion website. A new glossary. Assuming no previous experience of the subject, and a minimum of mathematical knowledge, this is the ideal guide for those new to SEM and an invaluable companion for students taking introductory SEM courses in any discipline. Niels J. Blunch was formerly in the Department of Marketing and Statistics at the University of Aarhus, Denmark

Introduction to Structural Equation Modeling Using IBM SPSS Statistics and EQS

Introduction to Structural Equation Modeling Using IBM SPSS Statistics and EQS PDF Author: Niels J. Blunch
Publisher: SAGE
ISBN: 1473943299
Category : Social Science
Languages : en
Pages : 426

Get Book Here

Book Description
This student orientated guide to structural equation modeling promotes theoretical understanding and inspires students with the confidence to successfully apply SEM. Assuming no previous experience, and a minimum of mathematical knowledge, this is an invaluable companion for students taking introductory SEM courses in any discipline. Niels Blunch shines a light on each step of the structural equation modeling process, providing a detailed introduction to SPSS and EQS with a focus on EQS′ excellent graphical interface. He also sets out best practice for data entry and programming, and uses real life data to show how SEM is applied in research. The book includes: Learning objectives, key concepts and questions for further discussion in each chapter. Helpful diagrams and screenshots to expand on concepts covered in the texts. A wide variety of examples from multiple disciplines and real world contexts. Exercises for each chapter on an accompanying . A detailed glossary. Clear, engaging and built around key software, this is an ideal introduction for anyone new to SEM.

Discriminant Analysis and Statistical Pattern Recognition

Discriminant Analysis and Statistical Pattern Recognition PDF Author: Geoffrey J. McLachlan
Publisher: John Wiley & Sons
ISBN: 0471725285
Category : Mathematics
Languages : en
Pages : 552

Get Book Here

Book Description
The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "For both applied and theoretical statisticians as well as investigators working in the many areas in which relevant use can be made of discriminant techniques, this monograph provides a modern, comprehensive, and systematic account of discriminant analysis, with the focus on the more recent advances in the field." –SciTech Book News ". . . a very useful source of information for any researcher working in discriminant analysis and pattern recognition." –Computational Statistics Discriminant Analysis and Statistical Pattern Recognition provides a systematic account of the subject. While the focus is on practical considerations, both theoretical and practical issues are explored. Among the advances covered are regularized discriminant analysis and bootstrap-based assessment of the performance of a sample-based discriminant rule, and extensions of discriminant analysis motivated by problems in statistical image analysis. The accompanying bibliography contains over 1,200 references.

Introduction to Structural Equation Modelling Using SPSS and Amos

Introduction to Structural Equation Modelling Using SPSS and Amos PDF Author: Niels Blunch
Publisher: SAGE
ISBN: 1446204790
Category : Social Science
Languages : en
Pages : 281

Get Book Here

Book Description
Introduction to Structural Equation Modelling using SPSS and AMOS is a complete guide to carrying out your own structural equation modelling project. Assuming no previous experience of the subject, and a minimum of mathematical knowledge, this is the ideal guide for those new to structural equation modelling (SEM). Each chapter begins with learning objectives, and ends with a list of the new concepts introduced and questions to open up further discussion. Exercises for each chapter, incuding the necessary data, can be downloaded from the book′s website. Helpful real life examples are included throughout, drawing from a wide range of disciplines including psychology, political science, marketing and health. Introduction to Structural Equation Modelling using SPSS and AMOS provides engaging and accessible coverage of all the basics necessary for using SEM, making it an invaluable companion for students taking introductory SEM courses in any discipline.

Guidelines for Forestry Information Processing with Particular Reference to Developing Countries

Guidelines for Forestry Information Processing with Particular Reference to Developing Countries PDF Author: J. W. Van Roessel
Publisher: Food & Agriculture Org.
ISBN: 9789251024515
Category : Nature
Languages : en
Pages : 156

Get Book Here

Book Description


Applied Analysis of Variance in Behavioral Science

Applied Analysis of Variance in Behavioral Science PDF Author: Lynne Edwards
Publisher: CRC Press
ISBN: 9780824788964
Category : Mathematics
Languages : en
Pages : 652

Get Book Here

Book Description
A reference devoted to the discussion of analysis of variance (ANOVA) techniques. It presents ANOVA as a research design, a collection of statistical models, an analysis model, and an arithmetic summary of data. Discussion focuses primarily on univariate data, but multivariate generalizations are to

Statistics

Statistics PDF Author: Thomas Hill
Publisher: StatSoft, Inc.
ISBN: 9781884233593
Category : Mathematics
Languages : en
Pages : 854

Get Book Here

Book Description
This - one of a kind - book offers a comprehensive, almost encyclopedic presentation of statistical methods and analytic approaches used in science, industry, business, and data mining, written from the perspective of the real-life practitioner ("consumer") of these methods.

Statistical Methods for Survival Data Analysis

Statistical Methods for Survival Data Analysis PDF Author: Elisa T. Lee
Publisher: John Wiley & Sons
ISBN: 0471458554
Category : Mathematics
Languages : en
Pages : 527

Get Book Here

Book Description
Third Edition brings the text up to date with new material and updated references. New content includes an introduction to left and interval censored data; the log-logistic distribution; estimation procedures for left and interval censored data; parametric methods iwth covariates; Cox's proportional hazards model (including stratification and time-dependent covariates); and multiple responses to the logistic regression model. Coverage of graphical methods has been deleted. Large data sets are provided on an FTP site for readers' convenience. Bibliographic remarks conclude each chapter.