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'statistical methods' 
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"Statistical methods applied to social sciences, made accessible to all through an emphasis on concepts Statistical Methods for the Social Sciences introduces statistical methods to students majoring in social science disciplines. With an em[...]
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To harness the full power of computer technology, economists need to use a broad range of mathematical techniques. In this book, Kenneth Judd presents techniques from the numerical analysis and applied mathematics literatures and shows how to us[...]
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Erich Leo Lehmann, Auteur ; H. J. M. D'Abrera, Collaborateur | San Francisco : Holden-Day | Holden-Day Series in Probability and Statistics | 1975The purpose of this books is to provide an introduction to nonparametric methods for the analysis and planning of comparative studies. Two topics that are not covered are multivariate techniques, and goodness-of-fit tests, a discussion of some t[...]
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David Ray Anderson, Auteur ; Dennis J. Sweeney, Auteur ; Thomas Arthur Williams, Auteur ; Jeffrey D. Camm, Auteur ; James J. Cochran, Auteur ; Neville James Freeman, Auteur ; Eddie Shoesmith, Auteur | Cengage | 2020Note de l'éditeur : "With its application-oriented approach, the fifth EMEA edition of Statistics for Business and Economics teaches students the core concepts of statistics in the fields of business, management, and economics, with the needs of[...]
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Many economic theories depend on the presence or absence of a unit root for their validity, making familiarity with unit roots extremely important to econometric and statistical theory. This book introduces the literature on unit roots in a comp[...]
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Kristian Kleinke, Auteur ; Jost Reinecke, Auteur ; Daniel Slafran, Auteur ; Martin Spiess, Auteur | Springer | Statistics for social and behavioral sciences, ISSN 2199-7357 | 20204e de couv : "This book explores missing data techniques and provides a detailed and easy-to-read introduction to multiple imputation, covering the theoretical aspects of the topic and offering hands-on help with the implementation. It discusses[...]
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Douglas A. Lind, Auteur ; Douglas A. Lind, Auteur ; William G. Marchal, Auteur ; Samuel Adam Wathen, Auteur | New York : Mc Graw-Hill | McGraw Hill Irwin series operations and decision sciences | 2022"The objective of Basic Statistics for Business and Economics is to provide students majoring in management, marketing, finance, accounting, economics, and other fields of business administration with an introductory survey of descriptive and in[...]
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Note de l'éditeur : "Regression Models for Categorical Dependent Variables Using Stata, Third Edition, by J. Scott Long and Jeremy Freese, is an essential reference for those who use Stata to fit and interpret regression models for categorical d[...]
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Note de l'éditeur : "This is a thorough exploration of the models and methods of financial econometrics by one of the world's leading financial econometricians and is for students in economics, finance, statistics, mathematics, and engineering w[...]
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4e de couv : "This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in b[...]
