Mathematical And Statistical Tools For Economic Modeling And Research
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Mathematical Statistics for Economics and Business
Author: Ron C. Mittelhammer
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-03-14
Mathematical Statistics for Economics and Business, Second Edition, provides a comprehensive introduction to the principles of mathematical statistics which underpin statistical analyses in the fields of economics, business, and econometrics. The selection of topics in this textbook is designed to provide students with a conceptual foundation that will facilitate a substantial understanding of statistical applications in these subjects. This new edition has been updated throughout and now also includes a downloadable Student Answer Manual containing detailed solutions to half of the over 300 end-of-chapter problems. After introducing the concepts of probability, random variables, and probability density functions, the author develops the key concepts of mathematical statistics, most notably: expectation, sampling, asymptotics, and the main families of distributions. The latter half of the book is then devoted to the theories of estimation and hypothesis testing with associated examples and problems that indicate their wide applicability in economics and business. Features of the new edition include: a reorganization of topic flow and presentation to facilitate reading and understanding; inclusion of additional topics of relevance to statistics and econometric applications; a more streamlined and simple-to-understand notation for multiple integration and multiple summation over general sets or vector arguments; updated examples; new end-of-chapter problems; a solution manual for students; a comprehensive answer manual for instructors; and a theorem and definition map. This book has evolved from numerous graduate courses in mathematical statistics and econometrics taught by the author, and will be ideal for students beginning graduate study as well as for advanced undergraduates.
Mathematical and Statistical Tools for Economic Modeling and Research
Author: Pasquale De Marco
language: en
Publisher: Pasquale De Marco
Release Date: 2025-03-07
**Mathematical and Statistical Tools for Economic Modeling and Research** provides a comprehensive introduction to econometrics, the branch of economics that uses mathematical and statistical methods to analyze economic data. This book is written for students and practitioners who want to learn how to use econometric methods to analyze economic data and make predictions about economic behavior. The book covers a wide range of topics, including: * The foundations of econometrics * Estimation and inference * Model building and specification * Advanced econometric methods * Forecasting and policy analysis The book is written in a clear and concise style, and it is packed with examples and exercises to help readers learn the material. It is also up-to-date with the latest developments in econometrics. **Mathematical and Statistical Tools for Economic Modeling and Research** is an essential resource for students and practitioners who want to learn how to use econometric methods to analyze economic data and make predictions about economic behavior. It is also a valuable resource for anyone who wants to understand the economy and make informed decisions about economic policy. This book is a valuable resource for anyone who wants to understand the economy and make informed decisions about economic policy. It is also a valuable resource for students and practitioners who want to learn how to use econometric methods to analyze economic data and make predictions about economic behavior. Econometrics is a powerful tool that can be used to improve our understanding of the economy and make better decisions about economic policy. This book provides a comprehensive introduction to econometrics that will help readers develop the skills they need to use econometric methods to analyze economic data and make predictions about economic behavior. If you like this book, write a review!
Statistical Tools for Finance and Insurance
Author: Pavel Čižek
language: en
Publisher: Springer Science & Business Media
Release Date: 2005
Statistical Tools in Finance and Insurance presents ready-to-use solutions, theoretical developments and method construction for many practical problems in quantitative finance and insurance. Written by practitioners and leading academics in the field, this book offers a unique combination of topics from which every market analyst and risk manager will benefit. Covering topics such as heavy tailed distributions, implied trinomial trees, support vector machines, valuation of mortgage-backed securities, pricing of CAT bonds, simulation of risk processes and ruin probability approximation, the book does not only offer practitioners insight into new methods for their applications, but it also gives theoreticians insight into the applicability of the stochastic technology. Additionally, the book provides the tools, instruments and (online) algorithms for recent techniques in quantitative finance and modern treatments in insurance calculations. Written in an accessible and engaging style, this self-instructional book makes a good use of extensive examples and full explanations. Thenbsp;design of the text links theory and computational tools in an innovative way. All Quantlets for the calculation of examples given in the text are supported by the academic edition of XploRe and may be executed via XploRe Quantlet Server (XQS). The downloadable electronic edition of the book enables one to run, modify, and enhance all Quantlets on the spot.