Statistics for Business, Finance & Economics

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Regression Modeling: Methods, Theory, and Computation with SAS

1st Edition

Michael Panik
October 07, 2019

Regression Modeling: Methods, Theory, and Computation with SAS provides an introduction to a diverse assortment of regression techniques using SAS to solve a wide variety of regression problems. The author fully documents the SAS programs and thoroughly explains the output produced by the programs....

Risk Analysis in Finance and Insurance

2nd Edition

Alexander Melnikov
September 25, 2019

Risk Analysis in Finance and Insurance, Second Edition presents an accessible yet comprehensive introduction to the main concepts and methods that transform risk management into a quantitative science. Taking into account the interdisciplinary nature of risk analysis, the author discusses many...

Measuring Society

1st Edition

Chaitra H. Nagaraja
August 09, 2019

Collecting and analyzing data on unemployment, inflation, and inequality help describe the complex world around us. When published by the government, such data are called official statistics. They are reported by the media, used by politicians to lend weight to their arguments, and by economic...

Metamodeling for Variable Annuities

1st Edition

Guojun Gan, Emiliano A. Valdez
July 11, 2019

This book is devoted to the mathematical methods of metamodeling that can be used to speed up the valuation of large portfolios of variable annuities. It is suitable for advanced undergraduate students, graduate students, and practitioners. It is the goal of this book to describe the computational...

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis

1st Edition

Silvia Bacci, Bruno Chiandotto
July 08, 2019

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision theory from a statistical perspective. It covers both traditional approaches, in terms of value theory and expected utility theory, and recent developments, in...

Teaching Data Analytics: Pedagogy and Program Design

1st Edition

Susan A Vowels, Katherine Leaming Goldberg
June 28, 2019

The need for analytics skills is a source of the burgeoning growth in the number of analytics and decision science programs in higher education developed to feed the need for capable employees in this area. The very size and continuing growth of this need means that there is still space for new...

Statistics for Business

1st Edition

Perumal Mariappan
June 04, 2019

Statistics for Business is meant as a textbook for students in business, computer science, bioengineering, environmental technology, and mathematics. In recent years, business statistics is used widely for decision making in business endeavours. It emphasizes statistical applications, statistical...

Time Series: A Data Analysis Approach Using R

1st Edition

Robert Shumway, David Stoffer
May 21, 2019

The goals of this text are to develop the skills and an appreciation for the richness and versatility of modern time series analysis as a tool for analyzing dependent data. A useful feature of the presentation is the inclusion of nontrivial data sets illustrating the richness of potential...

The Analysis of Time Series: An Introduction with R

7th Edition

Chris Chatfield, Haipeng Xing
May 09, 2019

This new edition of this classic title, now in its seventh edition, presents a balanced and comprehensive introduction to the theory, implementation, and practice of time series analysis. The book covers a wide range of topics, including ARIMA models, forecasting methods, spectral analysis, linear...

Analysis of Integrated Data

1st Edition

Li-Chun Zhang, Raymond L. Chambers
May 08, 2019

The advent of "Big Data" has brought with it a rapid diversification of data sources, requiring analysis that accounts for the fact that these data have often been generated and recorded for different reasons. Data integration involves combining data residing in different sources to enable...

Bayesian Analysis of Time Series

1st Edition

Lyle D. Broemeling
April 23, 2019

In many branches of science relevant observations are taken sequentially over time. Bayesian Analysis of Time Series discusses how to use models that explain the probabilistic characteristics of these time series and then utilizes the Bayesian approach to make inferences about their parameters....

Bayesian Statistical Methods

1st Edition

Brian J. Reich, Sujit K. Ghosh
April 16, 2019

Bayesian Statistical Methods provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis. This book focuses on Bayesian methods applied routinely in practice including multiple linear regression, mixed effects models and generalized linear models (...