Description |
1 online resource (xx, 340 pages) : illustrations |
Contents |
Front Cover; Dedication; Contents; List Of Figures; List Of Tables; Preface; Chapter 1 Defining Mathematical Statistics; Part I Defining Random Variables; Chapter 2 Introduction To Statistics, Probability, Andeconometrics; Chapter 3 Random Variables And Probabilitydistributions; Chapter 4 Moments And Moment-generating Functions; Chapter 5 Binomial And Normal Random Variables; Part II Estimation; Chapter 6 Large Sample Theory; Chapter 7 Point Estimation; Chapter 8 Interval Estimation; Chapter 9 Testing Hypotheses; Part III Econometric Applications; Chapter 10 Elements Of Matrix Analysis |
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Chapter 11 Regression Applications In EconometricsChapter 12 Survey Of Nonlinear Econometricapplications; Chapter 13 Conclusions; Appendix A Symbolic Computer Programs; Appendix B Change Of Variables For Simultaneous equations; Appendix C Fourier Transformations; Appendix D Farm Interest Rate Data; Appendix E Nonlinear Optimization; References; Back Cover |
Summary |
""This book presents a useful and well-integrated connection between mathematical statistics and applied econometrics. There is a natural progression from probability theory to estimations to economics applications, and the examples are helpful to understand and illustrate the statistical concepts. I highly recommend it to students who want to understand statistical theory that is driving econometrics applications frequently used in economics research.""-Ani Katchova, Associate Professor, Agricultural Economics, University of Kentucky""This book is a formal yet accessible introductory textbook |
Bibliography |
Includes bibliographical references (pages 337-340) |
Notes |
Print version record |
Subject |
Econometrics.
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Economics -- Mathematical models.
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Econometrics
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Economics -- Mathematical models
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Form |
Electronic book
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LC no. |
2014028241 |
ISBN |
9781466594111 |
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146659411X |
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9781466594104 |
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1466594101 |
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1466594098 |
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9781466594098 |
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