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Mathematical and Statistical Models and Methods in Reliability (Repost)

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Mathematical and Statistical Models and Methods in Reliability (Repost)

Mathematical and Statistical Models and Methods in Reliability: Applications to Medicine, Finance, and Quality Control by V.V. Rykov
English | PDF | 2010 | 465 Pages | ISBN : 0817649700 | 12.7 MB

An outgrowth of the sixth conference on “Mathematical Methods in Reliability: Theory, Methods, and Applications,” this book is a selection of invited chapters, all of which deal with various aspects of mathematical and statistical models and methods in reliability.

Advances in Degradation Modeling: Applications to Reliability, Survival Analysis, and Finance (Repost)

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Advances in Degradation Modeling: Applications to Reliability, Survival Analysis, and Finance (Repost)

Advances in Degradation Modeling: Applications to Reliability, Survival Analysis, and Finance by M.S. Nikulin
English | PDF | 2010 | 436 Pages | ISBN : 0817649239 | 6.2 MB

This volume—dedicated to William Q. Meeker on the occasion of his sixtieth birthday—is a collection of invited chapters covering recent advances in accelerated life testing and degradation models. The book covers a wide range of applications to areas such as reliability, quality control, the health sciences, economics, and finance.

Recent Developments in Fractals and Related Fields (Repost)

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Recent Developments in Fractals and Related Fields (Repost)

Recent Developments in Fractals and Related Fields by Julien Barral
English | PDF | 2010 | 424 Pages | ISBN : 0817648879 | 6.4 MB

This book—an outgrowth of an international conference held in honor of Jacques Peyrière—provides readers with an overview of recent developments in the mathematical fields related to fractals. Included are original research contributions as well as surveys written by experts in their respective fields.

Probability and Statistical Models: Foundations for Problems in Reliability and Financial Mathematics (Repost)

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Probability and Statistical Models: Foundations for Problems in Reliability and Financial Mathematics (Repost)

Probability and Statistical Models: Foundations for Problems in Reliability and Financial Mathematics by Arjun K. Gupta
English | PDF | 2010 | 270 Pages | ISBN : 0817649867 | 1.7 MB

With an emphasis on models and techniques, this textbook introduces many of the fundamental concepts of stochastic modeling that are now a vital component of almost every scientific investigation. These models form the basis of well-known parametric lifetime distributions such as exponential, Weibull, and gamma distributions, as well as change-point and mixture models.

Advances in Data Analysis (Repost)

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Advances in Data Analysis (Repost)

Advances in Data Analysis: Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks by Christos H. Skiadas
English | PDF | 2010 | 368 Pages | ISBN : 0817647988 | 5.8 MB

An outgrowth of the 12th International Conference on Applied Stochastic Models and Data Analysis, this book is a collection of invited chapters presenting recent developments in the field of data analysis, with applications to reliability and inference, data mining, bioinformatics, lifetime data, and neural networks. Emphasized throughout the volume are new methods with the potential for solving real-world problems in various areas.

Comparing Distributions (Repost)

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Comparing Distributions (Repost)

Comparing Distributions by Olivier Thas
English | PDF | 2010 | 357 Pages | ISBN : 0387927093 | 3 MB

Comparing Distributions refers to the statistical data analysis that encompasses the traditional goodness-of-fit testing. Whereas the latter includes only formal statistical hypothesis tests for the one-sample and the K-sample problems, this book presents a more general and informative treatment by also considering graphical and estimation methods. A procedure is said to be informative when it provides information on the reason for rejecting the null hypothesis. Despite the historically seemingly different development of methods, this book emphasises the similarities between the methods by linking them to a common theory backbone.

Spatial Statistics and Modeling

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Spatial Statistics and Modeling

Spatial Statistics and Modeling by Carlo Gaetan
English | PDF(True) | 2010 | 308 Pages | ISBN : 0387922563 | 8.1 MB

Spatial statistics are useful in subjects as diverse as climatology, ecology, economics, environmental and earth sciences, epidemiology, image analysis and more. This book covers the best-known spatial models for three types of spatial data: geostatistical data (stationarity, intrinsic models, variograms, spatial regression and space-time models), areal data (Gibbs-Markov fields and spatial auto-regression) and point pattern data (Poisson, Cox, Gibbs and Markov point processes). The level is relatively advanced, and the presentation concise but complete.

The Pleasures of Statistics: The Autobiography of Frederick Mosteller

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The Pleasures of Statistics: The Autobiography of Frederick Mosteller

The Pleasures of Statistics: The Autobiography of Frederick Mosteller by Frederick Mosteller
English | PDF | 2010 | 343 Pages | ISBN : 0387779558 | 16 MB

From his unique perspective, renowned statistician and educator Frederick Mosteller describes many of the projects and events in his long career. From humble beginnings in western Pennsylvania to becoming the founding chairman of Harvard University’s Department of Statistics and beyond, he inspired many statisticians, scientists, and students with his unabashed pragmatism, creative thinking, and zest for both learning and teaching. This candid account offers fresh insights into the qualities that made Mosteller a superb teacher, a prolific scholar, a respected leader, and a valued advisor.

Stochastic Approximation and Recursive Algorithms and Applications (Repost)

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Stochastic Approximation and Recursive Algorithms and Applications (Repost)

Stochastic Approximation and Recursive Algorithms and Applications by Harold J. Kushner
English | PDF | 2003 | 485 Pages | ISBN : 0387008942 | 4.6 MB

This revised and expanded second edition presents a thorough development of the modern theory of stochastic approximation or recursive stochastic algorithms for both constrained and unconstrained problems. There is a complete development of both probability one and weak convergence methods for very general noise processes. The proofs of convergence use the ODE method, the most powerful to date.

Stochastic Processes: From Physics to Finance, 2nd Edition

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Stochastic Processes: From Physics to Finance, 2nd Edition

Stochastic Processes: From Physics to Finance, 2nd Edition By Wolfgang Paul
English | PDF | 2013 | 287 Pages | ISBN : 3319003267 | 5.2 MB

This book introduces the theory of stochastic processes with applications taken from physics and finance. Fundamental concepts like the random walk or Brownian motion but also Levy-stable distributions are discussed. Applications are selected to show the interdisciplinary character of the concepts and methods. In the second edition of the book a discussion of extreme events ranging from their mathematical definition to their importance for financial crashes was included.

Metastability: A Potential-Theoretic Approach

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Metastability: A Potential-Theoretic Approach

Metastability: A Potential-Theoretic Approach By Anton Bovier
English | PDF | 2015 | 581 Pages | ISBN : 3319247751 | 5.9 MB

This monograph provides a concise presentation of a mathematical approach to metastability, a wide-spread phenomenon in the dynamics of non-linear systems - physical, chemical, biological or economic - subject to the action of temporal random forces typically referred to as noise, based on potential theory of reversible Markov processes.

Recent Advances in Functional Data Analysis and Related Topics

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Recent Advances in Functional Data Analysis and Related Topics

Recent Advances in Functional Data Analysis and Related Topics by Frédéric Ferraty
English | PDF | 2011 | 316 Pages | ISBN : 3790827355 | 13.3 MB

New technologies allow us to handle increasingly large datasets, while monitoring devices are becoming ever more sophisticated. This high-tech progress produces statistical units sampled over finer and finer grids. As the measurement points become closer, the data can be considered as observations varying over a continuum. This intrinsic continuous data (called functional data) can be found in various fields of science, including biomechanics, chemometrics, econometrics, environmetrics, geophysics, medicine, etc.

Nonparametric Functional Data Analysis: Theory and Practice (Repost)

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Nonparametric Functional Data Analysis: Theory and Practice (Repost)

Nonparametric Functional Data Analysis: Theory and Practice by Frédéric Ferraty
English | PDF | 2006 | 261 Pages | ISBN : 0387303693 | 2.7 MB

Modern apparatuses allow us to collect samples of functional data, mainly curves but also images. On the other hand, nonparametric statistics produces useful tools for standard data exploration.

Problems in Probability (Repost)

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Problems in Probability (Repost)

Problems in Probability by Albert N. Shiryaev
English | PDF | 432 Pages | ISBN : 1461436877 | 3.3 MB

Problems in Probability comprises one of the most comprehensive, nearly encyclopedic, collections of problems and exercises in probability theory. Albert Shiryaev has skillfully created, collected, and compiled the exercises in this text over the course of many years while working on topics which interested him the most.

Exercises in Probability

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Exercises in Probability

Exercises in Probability by T. Cacoullos
English | PDF | 1989 | 251 Pages | ISBN : 0387967354 | 14.9 MB

The author, the founder of the Greek Statistical Institute, has based this book on the two volumes of his Greek edition which has been used by over ten thousand students during the past fifteen years. It can serve as a companion text for an introductory or intermediate level probability course.