אנו משתמשים ב-Cookies כדי לשפר את החוויה שלך. כדי לקיים ההנחיה החדשה של e-Privacy, עלינו לבקש את הסכמתך להגדיר את ה-Cookies. קבלת מידע נוסף.
525.00 ₪
Using Multivariate Statistics: Pearson New International Edition 6
525.00 ₪
ISBN13
9781292021317
מהדורה
6
הוצאה לאור
PEARSON
עמודים / Pages
IE
פורמט
Paperback / softback
תאריך יציאה לאור
23 ביולי 2013
מחליף את פריט
9780205890811
A Practical Approach to using Multivariate Analyses
Using Multivariate Statistics, 6th edition provides advanced undergraduate as well as graduate students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics. This text's practical approach focuses on the benefits and limitations of applications of a technique to a data set - when, why, and how to do it.
Learning Goals
Upon completing this book, readers should be able to:
Learn to conduct numerous types of multivariate statistical analyses
Find the best technique to use
Understand Limitations to applications
Learn how to use SPSS and SAS syntax and output
| מהדורה | 6 |
|---|---|
| עמודים / Pages | IE |
| מחליף את פריט | 9780205890811 |
| פורמט | Paperback / softback |
| הוצאה לאור | PEARSON |
| תאריך יציאה לאור | 23 ביולי 2013 |
| תוכן עניינים | 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: Screening 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 |
| Author | Barbara G. Tabachnick / Linda S. Fidell |
Login and Registration Form