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Mathematical statistics for applied econometrics /

""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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Moss, Charles B. (Charles Britt) (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton, FL : CRC Press, [2015]
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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245 1 0 |a Mathematical statistics for applied econometrics /  |c Charles B. Moss. 
264 1 |a Boca Raton, FL :  |b CRC Press,  |c [2015] 
264 4 |c ©2015 
300 |a 1 online resource (xx, 340 pages) :  |b illustrations 
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504 |a Includes bibliographical references (pages 337-340). 
505 0 |a 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 
505 8 |a 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 
520 |a ""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. 
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