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Regression Basics, Paperback by Kahane, Leo H., Brand New, Free shipping in t...
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Item specifics
- Condition
- Book Title
- Regression Basics
- ISBN
- 9781412951265
- Subject Area
- Mathematics, Social Science
- Publication Name
- Regression Basics
- Publisher
- SAGE Publications, Incorporated
- Item Length
- 9 in
- Subject
- Probability & Statistics / Regression Analysis, Research
- Publication Year
- 2007
- Type
- Textbook
- Format
- Perfect
- Language
- English
- Item Height
- 0.6 in
- Item Weight
- 12 Oz
- Item Width
- 6 in
- Number of Pages
- 240 Pages
About this product
Product Identifiers
Publisher
SAGE Publications, Incorporated
ISBN-10
1412951267
ISBN-13
9781412951265
eBay Product ID (ePID)
62984074
Product Key Features
Number of Pages
240 Pages
Publication Name
Regression Basics
Language
English
Subject
Probability & Statistics / Regression Analysis, Research
Publication Year
2007
Type
Textbook
Subject Area
Mathematics, Social Science
Format
Perfect
Dimensions
Item Height
0.6 in
Item Weight
12 Oz
Item Length
9 in
Item Width
6 in
Additional Product Features
Edition Number
2
Intended Audience
College Audience
LCCN
2007-020636
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
519.5/36
Table Of Content
Preface1. An Introduction to the Linear Regression Model2. The Least-Squares Estimation Method: Fitting Lines to Data3. Model Performance And Evaluation4. Multiple Regression Analysis5. Non-Linear and Logarithmic Models, Dummy and Interaction6. Time Variables and Panel Data: A Simple Introduction7. Some Common Problems In Regression Analysis8. Where To Go From HereAppendix A: Data Sets Used In ExamplesAppendix B: Instructions for Using Excel and SPSSAppendix C: t TableAppendix D: Answers To ProblemsGlossaryReferences
Synopsis
Using a friendly, nontechnical approach, the Second Edition of Regression Basics introduces readers to the fundamentals of regression. Accessible to anyone with an introductory statistics background, this book builds from a simple two-variable model to a model of greater complexity. Author Leo H. Kahane weaves four engaging examples throughout the text to illustrate not only the techniques of regression but also how this empirical tool can be applied in creative ways to consider a broad array of topics. New to the Second Edition * Offers greater coverage of simple panel-data estimation: Because the availability of panel data has increased over the past decade, this new edition includes coverage of estimation with multiple cross-sections of data across time. * Provides an introductory discussion of omitted variables bias: As a problem that frequently arises, this issue is important for those new to regression analysis to understand. * Includes up-to-date advances: Chapter 7 is expanded to include recent developments in regression. * Uses a diverse selection of examples: Engaging examples illustrate the wide application of regression analysis from baseball salaries to presidential voting to British crime rates to U.S. abortion rates and more. * Includes more end-of-chapter problems: This edition offers new questions at the end of chapters that are based on the new examples woven through the book. * Illustrates examples using software programs: Appendix B now includes screenshots to further aid readers working with Microsoft Excel® and SPSS. Intended Audience This is an ideal core or supplemental text for advanced undergraduate and graduate courses such as Regression and Correlation, Sociological Research Methods, Quantitative Research Methods, and Statistical Methods in the fields of economics, public policy, political science, sociology, public affairs, urban planning, education, and geography., The Second Edition has been expanded to include recent developments in regression as well as coverage of estimation with multiple cross-sections of data across time (panel data). More end-of-chapter problems based on the examples that are woven through the book, along with screenshots to further aid readers working with Microsoft® Excel® and SPSS have also been included., Using a friendly, nontechnical approach, the Second Edition of Regression Basics introduces readers to the fundamentals of regression. Accessible to anyone with an introductory statistics background, this book builds from a simple two-variable model to a model of greater complexity. Author Leo H. Kahane weaves four engaging examples throughout the text to illustrate not only the techniques of regression but also how this empirical tool can be applied in creative ways to consider a broad array of topics. New to the Second Edition - Offers greater coverage of simple panel-data estimation: Because the availability of panel data has increased over the past decade, this new edition includes coverage of estimation with multiple cross-sections of data across time. - Provides an introductory discussion of omitted variables bias: As a problem that frequently arises, this issue is important for those new to regression analysis to understand. - Includes up-to-date advances: Chapter 7 is expanded to include recent developments in regression. - Uses a diverse selection of examples: Engaging examples illustrate the wide application of regression analysis from baseball salaries to presidential voting to British crime rates to U.S. abortion rates and more. - Includes more end-of-chapter problems: This edition offers new questions at the end of chapters that are based on the new examples woven through the book. - Illustrates examples using software programs: Appendix B now includes screenshots to further aid readers working with Microsoft Excel(R) and SPSS. Intended Audience This is an ideal core or supplemental text for advanced undergraduate and graduate courses such as Regression and Correlation, Sociological Research Methods, Quantitative Research Methods, and Statistical Methods in the fields of economics, public policy, political science, sociology, public affairs, urban planning, education, and geography.
LC Classification Number
QA278.2.K34 2008
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