Statistics for Business, Finance & Economics

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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 (...

Time Series Clustering and Classification

1st Edition

Elizabeth Ann Maharaj, Pierpaolo D'Urso, Jorge Caiado
April 12, 2019

The beginning of the age of artificial intelligence and machine learning has created new challenges and opportunities for data analysts, statisticians, mathematicians, econometricians, computer scientists and many others. At the root of these techniques are algorithms and methods for clustering and...

Sampling: Design and Analysis

2nd Edition

Sharon L. Lohr
April 09, 2019

This edition is a reprint of the second edition published by Cengage Learning, Inc. Reprinted with permission. What is the unemployment rate? How many adults have high blood pressure? What is the total area of land planted with soybeans? Sampling: Design and Analysis tells you how to design and...

Pathwise Estimation and Inference for Diffusion Market Models

1st Edition

Nikolai Dokuchaev, Lin Yee Hin
March 28, 2019

Pathwise estimation and inference for diffusion market models discusses contemporary techniques for inferring, from options and bond prices, the market participants' aggregate view on important financial parameters such as implied volatility, discount rate, future interest rate, and their...

An Introduction to Excel VBA Programming: with Applications in Finance and Insurance

1st Edition

Guojun Gan
March 22, 2019

Excel Visual Basic for Applications (VBA) can be used to automate operations in Excel and is one of the most frequently used software programs for manipulating data and building models in banks and insurance companies. An Introduction to Excel VBA Programming: with Applications in Finance and...