Probability Theory & Applications

PUBLISHED


Viewing: 1 - 10 of 45
Published:
April 25, 2013
Author(s):
Felix Abramovich; Ya'acov Ritov
Designed for a one-semester advanced undergraduate or graduate course, Statistical Theory: A Concise Introduction clearly explains the underlying ideas and principles of major statistical concepts, including parameter estimation, confidence intervals, hypothesis testing, asymptotic analysis, 
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$69.95
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Published:
April 09, 2013
Author(s):
Peter Westfall; Kevin S. S. Henning
Providing a much-needed bridge between elementary statistics courses and advanced research methods courses, Understanding Advanced Statistical Methods helps students grasp the fundamental assumptions and machinery behind sophisticated statistical topics, such as logistic regression, maximum 
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$79.95
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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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Published:
November 26, 2012
Author(s):
Mark P. Kaminskiy
A discussion of the basic reliability concepts and models, Reliability Models for Engineers and Scientists demystifies modern mathematical reliability models. Requiring very little mathematical background on the reader’s part, this concise book introduces the models by focusing on their physical 
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$129.95
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Published:
October 01, 2012
Author(s):
Georg Lindgren
Intended for a second course in stationary processes, Stationary Stochastic Processes: Theory and Applications presents the theory behind the field’s widely scattered applications in engineering and science. In addition, it reviews sample function properties and spectral representations for 
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$89.95
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Published:
August 25, 2012
Author(s):
Vladimir I. Rotar
A First Course in Probability with an Emphasis on Stochastic ModelingProbability and Stochastic Modeling not only covers all the topics found in a traditional introductory probability course, but also emphasizes stochastic modeling, including Markov chains, birth-death processes, and reliability 
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$79.95
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Published:
July 20, 2012
Author(s):
Jana Jurečková; Pranab Sen; Jan Picek
Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from biomedical sciences to the public health disciplines, and, more recently, in genomics, bioinformatics, and financial statistics. These disciplines are presently 
  Hardback
$99.95
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Published:
June 04, 2012
Author(s):
Leonard M. Wapner
Unexpected Expectations: The Curiosities of a Mathematical Crystal Ball explores how paradoxical challenges involving mathematical expectation often necessitate a reexamination of basic premises. The author takes you through mathematical paradoxes associated with seemingly straightforward 
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$39.95
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Published:
May 02, 2012
Author(s):
Ernest Davis
Based on the author’s course at NYU, Linear Algebra and Probability for Computer Science Applications gives an introduction to two mathematical fields that are fundamental in many areas of computer science. The course and the text are addressed to students with a very weak mathematical background. 
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$59.95
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Published:
December 20, 2011
Author(s):
Serguei Y. Novak
Extreme value theory (EVT) deals with extreme (rare) events, which are sometimes reported as outliers. Certain textbooks encourage readers to remove outliers—in other words, to correct reality if it does not fit the model. Recognizing that any model is only an approximation of reality, 
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$104.95
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