Mathematical Statistics for Applied Econometrics covers the basics of statistical inference in support of a subsequent course on classical econometrics. The book shows students how mathematical statistics concepts form the basis of econometric formulations. It also helps them think about statistics as more than a toolbox of techniques.
Uses Computer Systems to Simplify Computation
The text explores the unifying themes involved in quantifying sample information to make inferences. After developing the necessary probability theory, it presents the concepts of estimation, such as convergence, point estimators, confidence intervals, and hypothesis tests. The text then shifts from a general development of mathematical statistics to focus on applications particularly popular in economics. It delves into matrix analysis, linear models, and nonlinear econometric techniques.
Students Understand the Reasons for the Results
Avoiding a cookbook approach to econometrics, this textbook develops students' theoretical understanding of statistical tools and econometric applications. It provides them with the foundation for further econometric studies.
Автор: K.M. Ramachandran Название: Mathematical Statistics with Applications in R, ISBN: 0124171133 ISBN-13(EAN): 9780124171138 Издательство: Elsevier Science Рейтинг: Цена: 73400 T Наличие на складе: Поставка под заказ. Описание: Mathematical Statistics with Applications in R, Second Edition, offers a modern calculus-based theoretical introduction to mathematical statistics and applications. The book covers many modern statistical computational and simulation concepts that are not covered in other texts, such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo (MCMC) methods such as the Metropolis algorithm, Metropolis-Hastings algorithm and the Gibbs sampler. By combining the discussion on the theory of statistics with a wealth of real-world applications, the book helps students to approach statistical problem solving in a logical manner. This book provides a step-by-step procedure to solve real problems, making the topic more accessible. It includes goodness of fit methods to identify the probability distribution that characterizes the probabilistic behavior or a given set of data. Exercises as well as practical, real-world chapter projects are included, and each chapter has an optional section on using Minitab, SPSS and SAS commands. The text also boasts a wide array of coverage of ANOVA, nonparametric, MCMC, Bayesian and empirical methods; solutions to selected problems; data sets; and an image bank for students. Advanced undergraduate and graduate students taking a one or two semester mathematical statistics course will find this book extremely useful in their studies.
Автор: Serfling, Robert J. Название: Approximation theorems of mathematical statistics ISBN: 0471219274 ISBN-13(EAN): 9780471219279 Издательство: Wiley Рейтинг: Цена: 92130 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Covers a range of limit theorems useful in mathematical statistics, along with methods of proof and techniques of application. This book emphasizes the manipulation of "probability" theorems to obtain "statistical" theorems.
Автор: Jenny A. Baglivo Название: Mathematica Laboratories for Mathematical Statistics ISBN: 0898715660 ISBN-13(EAN): 9780898715668 Издательство: Eurospan Рейтинг: Цена: 62690 T Наличие на складе: Поставка под заказ. Описание: Integrating computers into mathematical statistics courses allows students to simulate experiments and visualize their results, handle larger data sets, analyze data more quickly, and compare the results of classical methods of data analysis with those using alternative techniques. This text presents a concise introduction to the concepts of probability theory and mathematical statistics. The accompanying in-class and take-home computer laboratory activities reinforce the techniques introduced in the text and are accessible to students with little or no experience with Mathematica. These laboratory materials present applications in a variety of real-world settings, with data from epidemiology, environmental sciences, medicine, social sciences, physical sciences, manufacturing, engineering, marketing, and sports. Included in the book are parametric, nonparametric, permutation, bootstrap and diagnostic methods. Permutation and bootstrap methods are discussed side by side with classical methods in the later chapters. Includes a CD-ROM with 238 laboratory problems written as Mathematica notebooks.
Автор: Schwarz Название: 40 Puzzles and Problems in Probability and Mathematical Statistics ISBN: 0387735119 ISBN-13(EAN): 9780387735115 Издательство: Springer Рейтинг: Цена: 37320 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The present book is based on the view that cognitive skills are best acquired by solving challenging, non-standard probability problems. The author's own experience, both in learning and in teaching, is that challenging problems often provide more, and longer lasting, inductive insights than plain-style deductions from general concepts. Problems help to develop, and to sharpen our intuition for important probabilistical concepts and tools such as conditionaing or first-step analyses.Many puzzles and problems presented here are either new within a problem solving context (although as topics in fundamental research they are of course long known) or are variations of classical problems which follow directly from elementary concepts. A small number of particularly instructive problems is taken from previous sources which in this case are generally given.
Автор: Shao Jun Название: Mathematical Statistics ISBN: 0387953825 ISBN-13(EAN): 9780387953823 Издательство: Springer Рейтинг: Цена: 68420 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This graduate textbook covers topics in statistical theory essential for graduate students preparing for work on a Ph.D. degree in statistics. The first chapter provides a quick overview of concepts and results in measure-theoretic probability theory that are usefulin statistics. The second chapter introduces some fundamental concepts in statistical decision theory and inference. Chapters 3-7 contain detailed studies on some important topics: unbiased estimation, parametric estimation, nonparametric estimation, hypothesis testing, and confidence sets. A large number of exercises in each chapter provide not only practice problems for students, but also many additional results. In addition to the classical results that are typically covered in a textbook of a similar level, this book introduces some topics in modern statistical theory that have been developed in recent years, such as Markov chain Monte Carlo, quasi-likelihoods, empirical likelihoods, statistical functionals, generalized estimation equations, the jackknife, and the bootstrap. Jun Shao is Professor of Statistics at the University of Wisconsin, Madison. Also available: Jun Shao and Dongsheng Tu, The Jackknife and Bootstrap, Springer- Verlag New York, Inc., 1995, Cloth, 536 pp., 0-387-94515-6.
Автор: Howard E.A. Tinsley Название: Handbook of Applied Multivariate Statistics and Mathematical Mode ISBN: 0126913609 ISBN-13(EAN): 9780126913606 Издательство: Elsevier Science Рейтинг: Цена: 133740 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This handbook explains the appropriate uses of multivariate procedures and mathematical modelling techniques, and prescribes practices that should enable applied researchers to use these procedures effectively without needing to concern themselves with the mathematical basis.
Автор: Kapadia, Asha Seth Название: Mathematical Statistics With Applications ISBN: 082475400X ISBN-13(EAN): 9780824754006 Издательство: Taylor&Francis Рейтинг: Цена: 60490 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Mathematical statistics typically represents one of the most difficult challenges in statistics, particularly for those with more applied, rather than mathematical, interests and backgrounds. Most textbooks on the subject provide little or no review of the advanced calculus topics upon which much of mathematical statistics relies and furthermore contain material that is wholly theoretical, thus presenting even greater challenges to those interested in applying advanced statistics to a specific area. Mathematical Statistics with Applications presents the background concepts and builds the technical sophistication needed to move on to more advanced studies in multivariate analysis, decision theory, stochastic processes, or computational statistics. Applications embedded within theoretical discussions clearly demonstrate the utility of the theory in a useful and relevant field of application and allow readers to avoid sudden exposure to purely theoretical materials. With its clear explanations and more than usual emphasis on applications and computation, this text reaches out to the many students and professionals more interested in the practical use of statistics to enrich their work in areas such as communications, computer science, economics, astronomy, and public health.
Автор: Wolfgang Karl Hardle Название: Basics of Modern Mathematical Statistics ISBN: 3642368492 ISBN-13(EAN): 9783642368493 Издательство: Springer Рейтинг: Цена: 43540 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents numerous exercises with solutions to help the reader better understand different aspects of modern statistics. It features applications with R and Matlab code that show how to practically use the methods.
Автор: Prakash Gorroochurn Название: Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times ISBN: 1119127920 ISBN-13(EAN): 9781119127925 Издательство: Wiley Рейтинг: Цена: 73570 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: There is nothing like it on the market...no others are as encyclopedic...the writing is exemplary: simple, direct, and competent. George Cobb, Professor Emeritus of Mathematics and Statistics, Mount Holyoke CollegeWritten in a direct a
Автор: Zacks Название: Examples In Mathematical Statistics ISBN: 1118605500 ISBN-13(EAN): 9781118605509 Издательство: Wiley Рейтинг: Цена: 75630 T Наличие на складе: Поставка под заказ. Описание: This book presents examples that illustrate the theory of mathematical statistics and details how to apply the methods for solving problems. While other books on the topic contain problems and exercises, they do not focus on problem solving.
Автор: Korostelev A P Название: Mathematical Statistics ISBN: 0821852833 ISBN-13(EAN): 9780821852835 Издательство: Eurospan Рейтинг: Цена: 58720 T Наличие на складе: Невозможна поставка.
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