Statistics

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Viewing: 1 - 10 of 712
Published:
May 02, 2013
Author(s):
Sin-Ho Jung
In cancer research, a traditional phase II trial is designed as a single-arm trial that compares the experimental therapy to a historical control. This simple trial design has led to several adverse issues, including increased false positivity of phase II trial results and negative phase III trials 
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Published:
April 24, 2013
Author(s):
Alpan Raval; Animesh Ray
The new research area of genomics-inspired network biology lacks an introductory book that enables both physical/computational scientists and biologists to obtain a general yet sufficiently rigorous perspective of current thinking. Filling this gap, Introduction to Biological Networks provides a 
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Published:
April 23, 2013
Author(s):
Anatoliy Swishchuk; Shafiqul Islam
The theory and applications of random dynamical systems (RDS) are at the cutting edge of research in mathematics and economics, particularly in modeling the long-run evolution of economic systems subject to exogenous random shocks. Despite this interest, there are no books available that solely 
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Published:
April 17, 2013
Editor(s):
James Mittra; Christopher-Paul Milne
This book brings together a range of academic, industry and practitioner perspectives on translational medicine (TM). It enhances conceptual and practical understanding of the emergence and progress of the field and its potential impact on basic research, therapeutic development, and institutional 
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Published:
April 10, 2013
Author(s):
Arthur Li
To write an accomplished program in the DATA step of SAS®, programmers must understand programming logic and know how to implement and even create their own programming algorithm. Handbook of SAS® DATA Step Programming shows readers how best to manage and manipulate data by using the DATA step. 
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Published:
April 05, 2013
Author(s):
Bruno Remillard
While many financial engineering books are available, the statistical aspects behind the implementation of stochastic models used in the field are often overlooked or restricted to a few well-known cases. Statistical Methods for Financial Engineering guides current and future practitioners on 
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Published:
April 04, 2013
Editor(s):
Ting Yu; Nitesh Chawla; Simeon Simoff
Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms that solve increasingly complex data problems in changing environments, including economic, environmental, and social data. Computational 
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Published:
April 01, 2013
Author(s):
Alan C. Acock
Discovering Structural Equation Modeling Using Stata is devoted to Stata’s sem command and all it can do. You’ll learn about its capabilities in the context of confirmatory factor analysis, path analysis, structural equation modeling, longitudinal models, and multiple-group analysis. The book 
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Published:
March 26, 2013
Author(s):
David Roi Hardoon; Galit Shmueli
Assuming no prior knowledge or technical skills, Getting Started with Business Analytics: Insightful Decision-Making explores the contents, capabilities, and applications of business analytics. It bridges the worlds of business and statistics and describes business analytics from a non-commercial 
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Published:
March 25, 2013
Author(s):
Estáte V. Khmaladze
Suitable for statisticians, mathematicians, actuaries, and students interested in the problems of insurance and analysis of lifetimes, Statistical Methods with Applications to Demography and Life Insurance presents contemporary statistical techniques for analyzing life distributions and life 
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$79.95
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