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This book consists of eighteen articles in the area of `Combinatorial Matrix Theory' and `Generalized Inverses of Matrices'. Original research and expository articles presented in this publication are written by leading Mathematicians and Statisticians working in these...
Editeur :
Springer
Parution :
2013-02-11
ePub
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Concentration inequalities for functions of independent random variables is an area of probability theory that has witnessed a great revolution in the last few decades, and has applications in a wide variety of areas such as machine learning, statistics, discrete...
Editeur :
OUP Oxford
Parution :
2013-02-08
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Concentration inequalities for functions of independent random variables is an area of probability theory that has witnessed a great revolution in the last few decades, and has applications in a wide variety of areas such as machine learning, statistics, discrete...
Editeur :
OUP Oxford
Parution :
2013-02-07
ePub
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How predictable is a soccer game, what good does the change of a coach, which role does the salary of soccer players have? Andreas Heuer surprises us with his analysis of soccer statistics. He shows that many beloved soccer sayings will vanish into thin air at a closer...
Editeur :
Wiley-VCH
Parution :
2013-02-05
Collection :
Erlebnis Wissenschaft
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Digital Spectral Analysis provides a single source that offers complete coverage of the spectral analysis domain. This self-contained work includes details on advanced topics that are usually presented in scattered sources throughout the literature. The theoretical...
Editeur :
Wiley-ISTE
Parution :
2013-02-04
PDF, ePub
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Statistical analysis of data sets usually involves construction of a statistical model of the distribution of data within the available sample – and by extension the distribution of all data of the same category in the world.Statistical models are either parametric or...
Editeur :
Wiley-ISTE
Parution :
2013-02-04
PDF, ePub
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Nonparametric function estimation with stochastic data, otherwiseknown as smoothing, has been studied by several generations ofstatisticians. Assisted by the ample computing power in today'sservers, desktops, and laptops, smoothing methods have been findingtheir ways...
Editeur :
Springer
Parution :
2013-01-26
ePub
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Combinatorial problems based on graph partitioning enable us to mathematically represent and model many practical applications. Mission planning and the routing problems occurring in logistics perfectly illustrate two such examples. Nevertheless, these problems are not...
Editeur :
Wiley-ISTE
Parution :
2013-01-24
PDF, ePub
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The development of hierarchical models and Markov chain Monte Carlo (MCMC) techniques forms one of the most profound advances in Bayesian analysis since the 1970s and provides the basis for advances in virtually all areas of applied and theoretical Bayesian statistics....
Editeur :
OUP Oxford
Parution :
2013-01-24
PDF
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Singular spectrum analysis (SSA) is a technique of time series analysis and forecasting combining elements of classical time series analysis, multivariate statistics, multivariate geometry, dynamical systems and signal processing. SSA seeks to decompose the original...
Editeur :
Springer
Parution :
2013-01-19
ePub
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Problem Solving and Data Analysis Using Minitab A clear and easy guide to six Sigma methodology Six Sigma statistical methodology using MinitabProblem Solving and Data Analysis using Minitab presents example-based learning to aid readers in understanding how to use...
Editeur :
Wiley
Parution :
2013-01-18
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Based on a course in the theory of statistics this text concentrates on what can be achieved using the likelihood/Fisherian method of taking account of uncertainty when studying a statistical problem. It takes the concept ot the likelihood as providing the best methods...
Editeur :
OUP Oxford
Parution :
2013-01-17
PDF
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Based on a course in the theory of statistics this text concentrates on what can be achieved using the likelihood/Fisherian method of taking account of uncertainty when studying a statistical problem. It takes the concept ot the likelihood as providing the best methods...
Editeur :
OUP Oxford
Parution :
2013-01-17
ePub
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Water engineers require knowledge of stochastic, frequency concepts, uncertainty analysis, risk assessment, and the processes that predict unexpected events.This book presents the basics of stochastic, risk and uncertainty analysis, and random sampling techniques in...
Editeur :
Springer
Parution :
2013-01-12
ePub
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A highly accessible alternative approach to basic statistics Praise for the First Edition: "Certainly one of the most impressive little paperback 200-page introductory statistics books that I will ever see . . . it would make a good nightstand book for every...
Editeur :
Wiley
Parution :
2013-01-07
PDF, ePub
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A fresh approach to bridging research design with statistical analysis While good social science requires both research design and statistical analysis, most books treat these two areas separately. Understanding and Applying Research Design introduces an accessible...
Editeur :
Wiley
Parution :
2013-01-07
PDF, ePub
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This book covers the method of metric distances and its application in probability theory and other fields. The method is fundamental in the study of limit theorems and generally in assessing the quality of approximations to a given probabilistic model. The method of...
Editeur :
Springer
Parution :
2013-01-04
ePub
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A Comprehensive Account for Data Analysts of the Methods and Applications of Regression Analysis. Written by two established experts in the field, the purpose of the Handbook of Regression Analysis is to provide a practical, one-stop reference on regression analysis....
Editeur :
Wiley
Parution :
2013-01-03
Collection :
Wiley Handbooks in Applied Statistics
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Essentials of Monte Carlo Simulation focuses on the fundamentals of Monte Carlo methods using basic computer simulation techniques. The theories presented in this text deal with systems that are too complex to solve analytically. As a result, readers are given a system...
Editeur :
Springer
Parution :
2012-12-19
ePub
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Provides an introduction to basic structures of probability with a view towards applications in information technology A First Course in Probability and Markov Chains presents an introduction to the basic elements in probability and focuses on two main areas. The first...
Editeur :
Wiley
Parution :
2012-12-10
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