General

Biostatistics and Computer-Based Analysis of Health Data Using the R Software addresses the concept that many of the actions performed by statistical software comes back to the handling, manipulation, or even transformation of digital data. It is...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781781830123Author H. M. HumphreysFormat PaperbackPage Count 430Imprint New Academic Science LtdPublisher New Academic Science Ltd

The concept of sub-independence is defined in terms of the convolution of the distributions of random variables, providing a stronger sense of dissociation between random variables than that of uncorrelatedness. If statistical tests reject independence...

Cellular Automata (CA) form a general class of models of dynamical systems which are simple yet capture a rich variety of behaviour. This has made them a favourite tool for studying the generic behaviour of and modelling complex dynamical systems...

This book provides a primer in inequalities in applied probability theory & statistics. It is intended to be useful to both graduate students and established researchers working in Probability Theory & Statistics, Analytic Integral Inequalities...

This manuscript attempts to present in an organised manner characterisations and bounds of Record Values. There are several interesting articles presented in various journals and in some books on characterisations and bounds of Record Values. The aim is...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781573929332Author Jefferson Hane WeaverFormat PaperbackPage Count 250Imprint Prometheus BooksPublisher Prometheus BooksWeight(grams) 150g

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781568331089Author Steve SlavinFormat PaperbackPage Count 224Imprint Madison BooksPublisher Madison BooksWeight(grams) 295gDimensions(mm) 228mm * 148mm *...

Contents: Nonparametric Perspectives in Regression Analysis; Record Values of Univariate Distribution; A Transfer Theorem for Multitype Processes & Applications; The Generalized Order Statistics; Some Inference Aspects of a Social Network; Estimation...

This is a Nova Science Publication.Book InformationISBN 9781560724056Author M AhsanullahFormat HardbackPage Count 285Imprint Nova Science Publishers IncPublisher Nova Science Publishers IncWeight(grams) 505g

It is now nearly 25 years since the first textbook on geostatistics ("Traitj de gjostatistique appliquje" by G. Matheron) appeared in print in 1962. In that time geostatis tics has grown from an arcane theory regarded with scepticism by...

Exponential distribution is one of the most-used distributions in the theory and practice of statistics. It has several important properties like being memoryless and having a constant hazard rate. The field of characterization is developed in different...

Sorry no description is available for this book at this time.

Objecti'ves. As the title suggests, this book provides an introduction to probability designed to prepare the reader for intelligent and resourceful applications in a variety of fields. Its goal is to provide a careful exposition of those concepts,...

In statistics, the Kalman filter is a mathematical method whose purpose is to use a series of measurements observed over time, containing random variations and other inaccuracies, and produce estimates that tend to be closer to the true unknown...

Thiscollectionofproblemsisplannedasatextbookforuniversitycoursesinthe theoryofstochasticprocessesandrelatedspecialcourses. Theproblemsinthebook haveawidespectrumofthelevelofdif cultyandcanbeusefulforreaderswith...

This book encompasses the study of hybrid switching di usion processes and their applications. The word /hybrid" signi es the coexistence of c- tinuous dynamics and discrete events, which is one of the distinct features of the processes under...

Provides a self-contained comprehensive treatment of both one-sample and K-sample goodness-of-fit methods by linking them to a common theory backbone Contains many data examples, including R-code and a specific R-package for comparing distributions ...

In June 2010, a conference, Probability Approximations and Beyond, was held at the National University of Singapore (NUS), in honor of pioneering mathematician Louis Chen. Chen made the first of several seminal contributions to the theory and application...

This book covers recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components in the formulation of joint models for correlated data. This enables the book to cover a broader range of data types than...

This is the second edition of the comprehensive treatment of statistical inference using permutation techniques. It makes available to practitioners a variety of useful and powerful data analytic tools that rely on very few distributional assumptions...

No statistical model is "true" or "false," "right" or "wrong"; the models just have varying performance, which can be assessed. The main theme in this book is to teach modeling based on the principle that the...

The cycle representations of Markov processes have been advanced after the publication of the ?rst edition to many directions. One main purpose of these advances was the revelation of wide-ranging interpretations of the - cle decompositions of Markov...

The process of discovery in science and technology may require investigation of a large number of features, such as factors, genes or molecules. In Screening, statistically designed experiments and analyses of the resulting data sets are used to identify...

Introduces professionals and scientists to statistics and machine learning using the programming language R Written by and for practitioners, this book provides an overall introduction to R, focusing on tools and methods commonly used in data science,...

A reference to answer all your statistical confidentiality questions. This handbook provides technical guidance on statistical disclosure control and on how to approach the problem of balancing the need to provide users with statistical outputs and the...

An authoritative introduction to efficiency and productivity analysis with applications in both the banking and finance industry In light of the recent global financial crisis, several studies have examined the efficiency of financial institutions. A...

A comprehensive guide to statistical hypothesis testing with examples in SAS and R When analyzing datasets the following questions often arise: Is there a short hand procedure for a statistical test available in SAS or R? If so, how do I use it? If...

Features a practical approach to the analysis of biomedical data via mathematical methods and provides a MATLAB (R) toolbox for the collection, visualization, and evaluation of experimental and real-life data Applied Mathematics for the Analysis of...

Provides a one-stop resource for engineers learning biostatistics using MATLAB and WinBUGS Through its scope and depth of coverage, this book addresses the needs of the vibrant and rapidly growing bio-oriented engineering fields while implementing...

A modern guide to computational models and constructive simulation for personalized patient care using the Digital Patient The healthcare industry s emphasis is shifting from merely reacting to disease to preventing disease and promoting wellness...

This book is organized in two parts: the first part introduces the reader to all the concepts, tools and references that are required to start conducting research in behavioral computational social science. The methodological reasons for integrating the...

Sports analytics is on the rise, with top soccer clubs, bookmakers, and broadcasters all employing statisticians and data scientists to gain an edge over their competitors.Many popular books have been written exploring the mathematics of soccer. However,...

This innovative new approach to statistics simplifies concepts for those using them in the business world. The book discusses the basics of statistics starting with an introduction to business research. It explores how and why to apply statistics to...

The results established in this book constitute a new departure in ergodic theory and a significant expansion of its scope. Traditional ergodic theorems focused on amenable groups, and relied on the existence of an asymptotically invariant sequence in...

This book gives a comprehensive and self-contained introduction to the theory of symmetric Markov processes and symmetric quasi-regular Dirichlet forms. In a detailed and accessible manner, Zhen-Qing Chen and Masatoshi Fukushima cover the essential...

Mathematics of Chance utilizes simple, real-world problems-some of which have only recently been solved-to explain fundamental probability theorems, methods, and statistical reasoning. Jiri Andel begins with a basic introduction to probability theory and...

An insightful guide to the use of statistics for solving key problems in modern-day business and industry This book has been awarded the Technometrics Ziegel Prize for the best book reviewed by the journal in 2010. Technometrics is a journal of...

This book explores social mechanisms that drive network change and link them to computationally sound models of changing structure to detect patterns. This text identifies the social processes generating these networks and how networks have evolved...

Statistical data are not always precise numbers, or vectors, or categories. Real data are frequently what is called fuzzy. Examples where this fuzziness is obvious are quality of life data, environmental, biological, medical, sociological and economics...