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Numerical Methods of Statistics
  • Language: en
  • Pages: 446

Numerical Methods of Statistics

This 2001 book provides a basic background in numerical analysis and its applications in statistics.

Bayesian Econometrics
  • Language: en
  • Pages: 656

Bayesian Econometrics

Illustrates the scope and diversity of modern applications, reviews advances, and highlights many desirable aspects of inference and computations. This work presents an historical overview that describes key contributions to development and makes predictions for future directions.

Bayesian Econometrics
  • Language: en
  • Pages: 672

Bayesian Econometrics

Illustrates the scope and diversity of modern applications, reviews advances, and highlights many desirable aspects of inference and computations. This work presents an historical overview that describes key contributions to development and makes predictions for future directions.

Handbook of Financial Time Series
  • Language: en
  • Pages: 1045

Handbook of Financial Time Series

The Handbook of Financial Time Series gives an up-to-date overview of the field and covers all relevant topics both from a statistical and an econometrical point of view. There are many fine contributions, and a preamble by Nobel Prize winner Robert F. Engle.

Rising Powers and Foreign Policy Revisionism
  • Language: en
  • Pages: 217

Rising Powers and Foreign Policy Revisionism

Addresses concerns that rising powers may generate international conflict, focusing on Brazil, Russia, India, China, and South Africa (BRICS)

The Econometrics of Panel Data
  • Language: en
  • Pages: 950

The Econometrics of Panel Data

This restructured, updated Third Edition provides a general overview of the econometrics of panel data, from both theoretical and applied viewpoints. Readers discover how econometric tools are used to study organizational and household behaviors as well as other macroeconomic phenomena such as economic growth. The book contains sixteen entirely new chapters; all other chapters have been revised to account for recent developments. With contributions from well known specialists in the field, this handbook is a standard reference for all those involved in the use of panel data in econometrics.

Bayesian Analysis of the Multivariate Probit Model
  • Language: en
  • Pages: 60

Bayesian Analysis of the Multivariate Probit Model

  • Type: Book
  • -
  • Published: 1995
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  • Publisher: Unknown

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The Effect of Market Structure on the Empirical Distribution of Airline Fares
  • Language: en
  • Pages: 56

The Effect of Market Structure on the Empirical Distribution of Airline Fares

  • Type: Book
  • -
  • Published: 2005
  • -
  • Publisher: Unknown

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The Econometrics of Panel Data
  • Language: en
  • Pages: 944

The Econometrics of Panel Data

The aim of this volume is to provide a general overview of the econometrics of panel data, both from a theoretical and from an applied viewpoint. Since the pioneering papers by Edwin Kuh (1959), Yair Mundlak (1961), Irving Hoch (1962), and Pietro Balestra and Marc Nerlove (1966), the pooling of cross sections and time series data has become an increasingly popular way of quantifying economic relationships. Each series provides information lacking in the other, so a combination of both leads to more accurate and reliable results than would be achievable by one type of series alone. Over the last 30 years much work has been done: investigation of the properties of the applied estimators and te...

Handbook of Computational Statistics
  • Language: en
  • Pages: 1096

Handbook of Computational Statistics

The Handbook of Computational Statistics: Concepts and Methodology is divided into four parts. It begins with an overview over the field of Computational Statistics. The second part presents several topics in the supporting field of statistical computing. Emphasis is placed on the need of fast and accurate numerical algorithms and it discusses some of the basic methodologies for transformation, data base handling and graphics treatment. The third part focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data. Finally a set of selected applications like Bioinformatics, Medical Imaging, Finance and Network Intrusion Detection highlight the usefulness of computational statistics.