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Common Errors in Statistics (and How to Avoid Them), 4th... book

  • Authors: Phillip I. Good, James W. Hardin
  • Published Date: Aug 03, 2012

Praise for Common Errors in Statistics (and How to Avoid Them) "A very engaging and valuable book for all who use statistics in any setting."—CHOICE "Addresses popular mistakes often made in data collection and provides an indispensable guide to accurate statistical analysis and reporting. The authors' emphasis on careful practice, combined with a focus on the development of solutions, reveals the true value of statistics when applied correctly in any area of research."—MAA...


Statistical Analysis and Data Mining journal

  • Published Date: Jul 19, 2012


33rd Annual Conference of the International Society for... event

  • Date: 19 August 2012
  • Location:

The International Society for Clinical Biostatistics (ISCB) was founded in 1978 to stimulate research into the principles and methodology used in the design and analysis of clinical research and to increase the relevance of statistical theory to the real world of clinical medicine.


Statistical Analysis and Data Mining journal

  • Published Date: Jul 18, 2012


Volume 25 Issue 8 (December 2009) journal issue

  • Published Date: Dec 01, 2009



Volume 28 Issue 3 (June 2008) journal issue

  • Published Date: Jun 01, 2008



Volume 28 Issue 2 (April 2008) journal issue

  • Published Date: Apr 01, 2008



Volume 76 Issue 2 (August 2008) journal issue

  • Published Date: Aug 01, 2008



Handbook of Volatility Models and Their Applications book

  • Authors: Luc Bauwens, Christian M. Hafner, Sebastien Laurent
  • Published Date: Apr 27, 2012

A complete guide to the theory and practice of volatility models in financial engineering Volatility has become a hot topic in this era of instant communications, spawning a great deal of research in empirical finance and time series econometrics. Providing an overview of the most recent advances, Handbook of Volatility Models and Their Applications explores key concepts and topics essential for modeling the volatility of financial time series, both univariate and multivariate, parametric and...


Volume 64 Issue 1 (March 2008) journal issue

  • Published Date: Mar 01, 2008

vii-x, 1-327


Volume 171 Issue 1 (January 2008) journal issue

  • Published Date: Jan 01, 2008



Volume 27 Issue 28 (10 December 2008) journal issue

  • Published Date: Dec 10, 2008



Volume 77 Issue 2 (August 2009) journal issue

  • Published Date: Aug 01, 2009



Volume 51 Issue 3 (July 2009) journal issue

  • Published Date: Jul 01, 2009



Volume 27 Issue 18 (15 August 2008) journal issue

  • Published Date: Aug 15, 2008



Volume 65 Issue 1 (March 2009) journal issue

  • Published Date: Mar 01, 2009

vii-x, 1-339


Big Data - Significance special issue feature

  • Published Date: Aug 16, 2012

There is a lot of debate about what the precise definition of Big Data should be. From techniques and technologies that make capturing value from data at an extreme scale economical, through to a more simple general term used to describe the voluminous amount of unstructured and semi-structured data a company or research creates -- data that would take too much time and cost too much money to load into a relational database for analysis. Regardless of the precise definition, the term Big Data is often used...


Evidence Synthesis for Decision Making in Healthcare book

  • Authors: Nicky J. Welton, Alexander J. Sutton, Nicola J. Cooper, Keith R. Abrams, A.E. Ades
  • Published Date: May 11, 2012

In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish interventions that are beneficial, are superior to all alternatives and are cost-effective. Usually one study will not provide answers to these questions and it will be necessary to synthesize evidence from multiple sources. This book aims to outline a coherent approach to such evidence synthesis, for the purpose of decision making. Each chapter contains worked examples, exercises and solutions drawn...


Introduction to Probability and Stochastic Processes with... book

  • Authors: Liliana Blanco Castaneda, Viswanathan Arunachalam, Selvamuthu Dharmaraja
  • Published Date: Oct 26, 2012

An easily accessible, real-world approach to probability and stochastic processes Introduction to Probability and Stochastic Processes with Applications presents a clear, easy-to-understand treatment of probability and stochastic processes, providing readers with a solid foundation they can build upon throughout their careers. With an emphasis on applications in engineering, applied sciences, business and finance, statistics, mathematics, and operations research, the book features numerous real-world...


A Practical Guide to Cluster Randomised Trials in Health... book

  • Authors: Sandra Eldridge, Sally Kerry
  • Published Date: Feb 03, 2012

Cluster randomisedtrials are trials in which groups (or clusters) of individuals are randomly allocated to different forms of treatment. In health care, these trials often compare different ways of managing a disease or promoting healthy living, in contrast to conventional randomised trials which randomise individuals to different treatments, classically comparing new drugs with a placebo. They are increasingly common in health services research. This book addresses the statistical, practical, and ethical...

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Published features on are checked for statistical accuracy by a panel from the European Network for Business and Industrial Statistics (ENBIS)   to whom Wiley and express their gratitude. This panel are: Ron Kenett, David Steinberg, Shirley Coleman, Irena Ograjenšek, Fabrizio Ruggeri, Rainer Göb, Philippe Castagliola, Xavier Tort-Martorell, Bart De Ketelaere, Antonio Pievatolo, Martina Vandebroek and Lance Mitchell.