Computational Methods In Statistics And Econometrics
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Author | : Hisashi Tanizaki |
Publisher | : CRC Press |
Total Pages | : 534 |
Release | : 2004-01-21 |
Genre | : Mathematics |
ISBN | : 0824750888 |
Download Computational Methods in Statistics and Econometrics Book in PDF, Epub and Kindle
Reflecting current technological capacities and analytical trends, Computational Methods in Statistics and Econometrics showcases Monte Carlo and nonparametric statistical methods for models, simulations, analyses, and interpretations of statistical and econometric data. The author explores applications of Monte Carlo methods in Bayesian estimation, state space modeling, and bias correction of ordinary least squares in autoregressive models. The book offers straightforward explanations of mathematical concepts, hundreds of figures and tables, and a range of empirical examples. A CD-ROM packaged with the book contains all of the source codes used in the text.
Author | : Yeliz Karaca |
Publisher | : Walter de Gruyter GmbH & Co KG |
Total Pages | : 512 |
Release | : 2018-12-17 |
Genre | : Mathematics |
ISBN | : 3110493608 |
Download Computational Methods for Data Analysis Book in PDF, Epub and Kindle
This graduate text covers a variety of mathematical and statistical tools for the analysis of big data coming from biology, medicine and economics. Neural networks, Markov chains, tools from statistical physics and wavelet analysis are used to develop efficient computational algorithms, which are then used for the processing of real-life data using Matlab.
Author | : Orley Ashenfelter |
Publisher | : |
Total Pages | : 328 |
Release | : 2003 |
Genre | : Business & Economics |
ISBN | : |
Download Statistics and Econometrics Book in PDF, Epub and Kindle
Every major econometric method is illustrated by a persuasive, real life example applied to real data. * Explores subjects such as sample design, which are critical to practical application econometrics.
Author | : D.A. Belsley |
Publisher | : Springer Science & Business Media |
Total Pages | : 237 |
Release | : 2013-04-17 |
Genre | : Business & Economics |
ISBN | : 9401583722 |
Download Computational Techniques for Econometrics and Economic Analysis Book in PDF, Epub and Kindle
It is unlikely that any frontier of economics/econometrics is being pushed faster, further than that of computational techniques. The computer has become a tool for performing as well as an environment in which to perform economics and econometrics, taking over where theory bogs down, allowing at least approximate answers to questions that defy closed mathematical or analytical solutions. Tasks may now be attempted that were hitherto beyond human potential, and all the forces available can now be marshalled efficiently, leading to the achievement of desired goals. Computational Techniques for Econometrics and Economic Analysis is a collection of recent studies which exemplify all these elements, demonstrating the power that the computer brings to the economic analysts. The book is divided into four parts: 1 -- the computer and econometric methods; 2 -- the computer and economic analysis; 3 -- computational techniques for econometrics; and 4 -- the computer and econometric studies.
Author | : Juan Rodriguez Poo |
Publisher | : Springer Science & Business Media |
Total Pages | : 346 |
Release | : 2012-12-06 |
Genre | : Business & Economics |
ISBN | : 3642556868 |
Download Computer-Aided Introduction to Econometrics Book in PDF, Epub and Kindle
The advent of low cost computation has made many previously intractable econometric models empirically feasible and computational methods are now realized as an integral part of the theory. This book provides graduate students and researchers not only with a sound theoretical introduction to the topic, but allows the reader through an internet based interactive computing method to learn from theory to practice the different techniques discussed in the book. Among the theoretical issues presented are linear regression analysis, univariate time series modelling with some interesting extensions such as ARCH models and dimensionality reduction techniques. The electronic version of the book including all computational possibilites can be viewed at http://www.xplore-stat.de/ebooks/ebooks.html
Author | : Nadja Bauer |
Publisher | : Springer Nature |
Total Pages | : 336 |
Release | : 2019-10-12 |
Genre | : Computers |
ISBN | : 3030251470 |
Download Applications in Statistical Computing Book in PDF, Epub and Kindle
This volume presents a selection of research papers on various topics at the interface of statistics and computer science. Emphasis is put on the practical applications of statistical methods in various disciplines, using machine learning and other computational methods. The book covers fields of research including the design of experiments, computational statistics, music data analysis, statistical process control, biometrics, industrial engineering, and econometrics. Gathering innovative, high-quality and scientifically relevant contributions, the volume was published in honor of Claus Weihs, Professor of Computational Statistics at TU Dortmund University, on the occasion of his 66th birthday.
Author | : Abdelaati Daouia |
Publisher | : Springer Nature |
Total Pages | : 713 |
Release | : 2021-06-14 |
Genre | : Mathematics |
ISBN | : 3030732495 |
Download Advances in Contemporary Statistics and Econometrics Book in PDF, Epub and Kindle
This book presents a unique collection of contributions on modern topics in statistics and econometrics, written by leading experts in the respective disciplines and their intersections. It addresses nonparametric statistics and econometrics, quantiles and expectiles, and advanced methods for complex data, including spatial and compositional data, as well as tools for empirical studies in economics and the social sciences. The book was written in honor of Christine Thomas-Agnan on the occasion of her 65th birthday. Given its scope, it will appeal to researchers and PhD students in statistics and econometrics alike who are interested in the latest developments in their field.
Author | : Kenneth Lange |
Publisher | : Springer Science & Business Media |
Total Pages | : 606 |
Release | : 2010-05-17 |
Genre | : Business & Economics |
ISBN | : 1441959459 |
Download Numerical Analysis for Statisticians Book in PDF, Epub and Kindle
Numerical analysis is the study of computation and its accuracy, stability and often its implementation on a computer. This book focuses on the principles of numerical analysis and is intended to equip those readers who use statistics to craft their own software and to understand the advantages and disadvantages of different numerical methods.
Author | : Manfred Gilli |
Publisher | : Springer Science & Business Media |
Total Pages | : 284 |
Release | : 2013-03-09 |
Genre | : Political Science |
ISBN | : 9401587434 |
Download Computational Economic Systems Book in PDF, Epub and Kindle
The approach to many problems in economic analysis has changed drastically with the development and dissemination of new and more efficient computational techniques. Computational Economic Systems: Models, Methods & Econometrics presents a selection of papers illustrating the use of new computational methods and computing techniques to solve economic problems. Part I of the volume consists of papers which focus on modelling economic systems, presenting computational methods to investigate the evolution of behavior of economic agents, techniques to solve complex inventory models on a parallel computer and an original approach for the construction and solution of multicriteria models involving logical conditions. Contributions to Part II concern new computational approaches to economic problems. We find an application of wavelets to outlier detection. New estimation algorithms are presented, one concerning seemingly related regression models, a second one on nonlinear rational expectation models and a third one dealing with switching GARCH estimation. Three contributions contain original approaches for the solution of nonlinear rational expectation models.
Author | : James E. Gentle |
Publisher | : Springer |
Total Pages | : 0 |
Release | : 2017-05-04 |
Genre | : Computers |
ISBN | : 9783662517659 |
Download Handbook of Computational Statistics Book in PDF, Epub and Kindle
The Handbook of Computational Statistics - Concepts and Methods (second edition) is a revision of the first edition published in 2004, and contains additional comments and updated information on the existing chapters, as well as three new chapters addressing recent work in the field of computational statistics. This new edition is divided into 4 parts in the same way as the first edition. It begins with "How Computational Statistics became the backbone of modern data science" (Ch.1): an overview of the field of Computational Statistics, how it emerged as a separate discipline, and how its own development mirrored that of hardware and software, including a discussion of current active research. The second part (Chs. 2 - 15) presents several topics in the supporting field of statistical computing. Emphasis is placed on the need for fast and accurate numerical algorithms, and some of the basic methodologies for transformation, database handling, high-dimensional data and graphics treatment are discussed. The third part (Chs. 16 - 33) focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data. Lastly, a set of selected applications (Chs. 34 - 38) like Bioinformatics, Medical Imaging, Finance, Econometrics and Network Intrusion Detection highlight the usefulness of computational statistics in real-world applications.