A comprehensive resource for analyzing a variety of categorical data, this book emphasizes the application of many recent advances of longitudinal categorical statistical methods. Each chapter provi……続きを見る
Chi-Squared Goodness of Fit Tests with Applications provides a thorough and complete context for the theoretical basis and implementation of Pearson’s monumental contribution and its wide applicabil……続きを見る
This brief provides methods for harnessing Twitter data to discover solutions to complex inquiries. The brief introduces the process of collecting data through Twitter’s APIs and offers strategies f……続きを見る
This introduction to the world of statistics draws examples from a broad range of applications, including business, government, medicine, social sciences, biology, and everyday life. The first four ……続きを見る
Praise for the Third Edition
"...this is an excellent book which could easily be used as a course text..."
ーInternational Statistical Institute
The Fourth Edition of Applied Linear Regression provi……続きを見る
Pattern recognition in data is a well known classical problem that falls under the ambit of data analysis. As we need to handle different data, the nature of patterns, their recognition and the type……続きを見る
It is increasingly common for analysts to seek out the opinions of individuals and organizations using attitudinal scales such as degree of satisfaction or importance attached to an issue. Examples ……続きを見る
著者:Edward W. Frees
出版社: Cambridge University Press
発売日: 2015年11月10日
This text gives budding actuaries and financial analysts a foundation in multiple regression and time series. They will learn about these statistical techniques using data on the demand for insuranc……続きを見る
This book explores a proactive and domain-driven method to classification tasks. This novel proactive approach to data mining not only induces a model for predicting or explaining a phenomenon, but ……続きを見る
This book aims to provide a compact and unified introduction to the most important aspects in the physics of non-equilibrium systems. It first introduces stochastic processes and some modern tools a……続きを見る
A practical and clarifying approach to aging and aging-related diseases
Providing a thorough and extensive theoretical framework, The Biostatistics of Aging: From Gompertzian Mortality to an Index o……続きを見る
This book provides a comprehensive and up to date treatment of theory and practical implementation in Register-based statistics. It begins by defining the area, before explaining how to structure su……続きを見る
The book contains three parts: Spectral theory of large dimensional random matrices; Applications to wireless communications; and Applications to finance. In the first part, we introduce some basic ……続きを見る
The design inference uncovers intelligent causes by isolating their key trademark: specified events of small probability. Just about anything that happens is highly improbable, but when a highly imp……続きを見る
`The authors make excellent use of illustrative examples′ - Reference Reviews
The SAGE Dictionary of Statistics provides students and researchers with an accessible and definitive resource to use wh……続きを見る
出版社: Springer International Publishing
発売日: 2015年12月29日
This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2013, held in conjunction with ECML/……続きを見る
出版社: Springer International Publishing
発売日: 2015年12月29日
This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Bio-Inspired Models of Network, Information and Computing Systems (Bionetics 2012), h……続きを見る
Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you’ll learn how to load data, assemble and disassembl……続きを見る
Bayesian Networks
“This book should have a place on the bookshelf of every forensic scientist who cares about the science of evidence interpretation.”
Dr. Ian Evett, Principal Forensic Services Ltd,……続きを見る
This book constitutes the thoroughly refereed post-proceedings of the 12th International Workshop on Coalgebraic Methods in Computer Science, CMCS 2014, colocated with ETAPS 2014, held in Grenoble, ……続きを見る
An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relation……続きを見る
Provides the knowledge and tools needed for the future of survey research
The survey research discipline faces unprecedented challenges, such as falling response rates, inadequate sampling frames, a……続きを見る
This book summarizes the results of various models under normal theory with a brief review of the literature. Statistical Inference for Models with Multivariate t-Distributed Errors:
Includes a wid……続きを見る
A clear easy-to-read guide to presenting your message using statistical data
Poor presentation of data is everywhere; basic principles are forgotten or ignored. As a result, audiences are presented ……続きを見る
Stochastic finance and financial engineering have been rapidly expanding fields of science over the past four decades, mainly due to the success of sophisticated quantitative methodologies in helpin……続きを見る
An introduction to the mathematical theory and financial models developed and used on Wall Street
Providing both a theoretical and practical approach to the underlying mathematical theory behind fin……続きを見る
HIGHLIGHTS THE USE OF BAYESIAN STATISTICS TO GAIN INSIGHTS FROM EMPIRICAL DATA
Featuring an accessible approach, Bayesian Methods for Management and Business: Pragmatic Solutions for Real Problems d……続きを見る
著者:Fima C Klebaner
出版社: World Scientific Publishing Company
発売日: 2005年06月20日
This book presents a concise treatment of stochastic calculus and its applications. It gives a simple but rigorous treatment of the subject including a range of advanced topics, it is useful for pra……続きを見る
著者:David A. Freedman
出版社: Cambridge University Press
発売日: 2015年11月10日
David A. Freedman presents here a definitive synthesis of his approach to causal inference in the social sciences. He explores the foundations and limitations of statistical modeling, illustrating b……続きを見る
著者:Michael Humphreys
出版社: Oxford University Press, USA
発売日: 2012年03月27日
The systematic analysis of baseball statistics, often called "sabermetrics," has evolved in recent years to resemble something of a science, attracting fans from diverse professional and educational……続きを見る