Produktbild: Using Multivariate Statistics

Using Multivariate Statistics

Aus der Reihe Always Learning

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.07.2013

Abbildungen

w. figs.

Verlag

Pearson Education Limited

Seitenzahl

1060

Maße (L/B/H)

27,6/21,6/5,7 cm

Gewicht

2340 g

Auflage

6

Sprache

Englisch

ISBN

978-1-292-02131-7

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.07.2013

Abbildungen

w. figs.

Verlag

Pearson Education Limited

Seitenzahl

1060

Maße (L/B/H)

27,6/21,6/5,7 cm

Gewicht

2340 g

Auflage

6

Sprache

Englisch

ISBN

978-1-292-02131-7

Herstelleradresse

Pearson
St.-Martin-Straße 82
81541 München
DE

Email: salesde@pearson.com

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  • Produktbild: Using Multivariate Statistics

  • In this Section:

    1. Brief Table of Contents

    2. Full Table of Contents

     


    1. BRIEF TABLE OF CONTENTS

     

    Chapter 1 Introduction

    Chapter 2 A Guide to Statistical Techniques: Using the Book

    Chapter 3 Review of Univariate and Bivariate Statistics

    Chapter 4 Cleaning Up Your Act: Screening Data Prior to Analysis

    Chapter 5 Multiple Regression

    Chapter 6 Analysis of Covariance

    Chapter 7 Multivariate Analysis of Variance and Covariance

    Chapter 8 Profile Analysis: The Multivariate Approach to Repeated Measures

    Chapter 9 Discriminant Analysis

    Chapter 10  Logistic Regression

    Chapter 11  Survival/Failure Analysis

    Chapter 12  Canonical Correlation

    Chapter 13  Principal Components and Factor Analysis

    Chapter 14  Structural Equation Modeling

    Chapter 15  Multilevel Linear Modeling

    Chapter 16  Multiway Frequency Analysis

    2. FULL TABLE OF CONTENTS

     

    Chapter 1: Introduction

    Multivariate Statistics: Why?

    Some Useful Definitions

    Linear Combinations of Variables

    Number and Nature of Variables to Include

    Statistical Power

    Data Appropriate for Multivariate Statistics

    Organization of the Book

     

    Chapter 2: A Guide to Statistical Techniques: Using the Book

    Research Questions and Associated Techniques

    Some Further Comparisons

    A Decision Tree

    Technique Chapters

    Preliminary Check of the Data

     

    Chapter 3: Review of Univariate and Bivariate Statistics

    Hypothesis Testing

    Analysis of Variance

    Parameter Estimation

    Effect Size

    Bivariate Statistics: Correlation and Regression.

    Chi-Square Analysis

     

    Chapter 4: Cleaning Up Your Act: Scree
    ning Data Prior to Analysis

    Important Issues in Data Screening

    Complete Examples of Data Screening

     

    Chapter 5: Multiple Regression

    General Purpose and Description

    Kinds of Research Questions

    Limitations to Regression Analyses

    Fundamental Equations for Multiple Regression

    Major Types of Multiple Regression

    Some Important Issues.

    Complete Examples of Regression Analysis

    Comparison of Programs

     

    Chapter 6: Analysis of Covariance

    General Purpose and Description

    Kinds of Research Questions

    Limitations to Analysis of Covariance

    Fundamental Equations for Analysis of Covariance

    Some Important Issues

    Complete Example of Analysis of Covariance

    Comparison of Programs

     

    Chapter 7: Multivariate Analysis of Variance and Covariance

    General Purpose and Description

    Kinds of Research Questions

    Limitations to Multivariate Analysis of Variance and Covariance

    Fundamental Equations for Multivariate Analysis of Variance and Covariance

    Some Important Issues

    Complete Examples of Multivariate Analysis of Variance and Covariance

    Comparison of Programs

     

    Chapter 8: Profile Analysis: The Multivariate Approach to Repeated Measures

    General Purpose and Description

    Kinds of Research Questions

    Limitations to Profile Analysis

    Fundamental Equations for Profile Analysis

    Some Important Issues

    Complete Examples of Profile Analysis

    Comparison of Programs

     

    Chapter 9: Discriminant Analysis

    General Purpose and Description

    Kinds of Research Questions

    Limitations to Discriminant Analysis

    Fundamental Equations for Discriminant Analysis

    Types of Discriminant Analysis

    Some Important Issues

    Comparison of Programs

     

    Chapter 10: Logistic Regres