Probability and statistics

This book provides a self-contained introduction of Stein/shrinkage estimation for the mean vector of a multivariate normal distribution.

a very useful resource for courses in nonparametric statistics in which the emphasis is on applications rather than on theory.

The book is the extended and revised version of the 1st edition and is composed of two main parts: mathematical background and queueing systems with applications.

Analyzing the phase transition from diffusive to localized behavior in a model of directed polymers in a random environment, this volume places particular emphasis on the localization phenomenon.

This book is intended for graduate students in statistics and industrial mathematics, as well as researchers and practitioners in the field.

Probabilistic Design for Optimization and Robustness: Presents the theory of modeling with variation using physical models and methods for practical applications on designs more insensitive to variation.

The revised Fifth Edition of this popular textbook is redesigned with Excel 2019 and the new inclusion of interactive, user-friendly JMP to encourage business students to develop competitive advantages for use in their future careers.

The book provides a snapshot of a hot topic - the systemic nature of innovation and its relevance to design - with a trifold perspective: the academic level - the literature on innovation studies and design is often neglected and a clear connection between the two topics taken for granted; the research level - collaborative models are currently considered great opportunities for transforming consumption, production and distribution of goods, but a clear scholarly discourse is still forming; the political level - the European Commission and the OECD are devoting much effort to understanding and measuring the impact of design in innovation processes and firms and a clear contribution would greatly support this path.

This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliability and queueing theory, inventory analysis, and the interplay between statistical inference, machine learning methods and related applications.

Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories.

Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field.

This book was written to provide resource materials for teachers to use in their introductory or intermediate statistics class.

Topological Methods for Differential Equations and Inclusions covers the important topics involving topological methods in the theory of systems of differential equations.

Quantitative Evaluation of Fire and EMS Mobilization Times presents comprehensive empirical data on fire emergency and EMS call processing and turnout times, and aims to improve the operational benchmarks of NFPA peer consensus standards through a close examination of real-world data.

Today econometrics has been widely applied in the empirical study of economics.

A hands-on introduction to the principles of Bayesian modeling using WinBUGS Bayesian Modeling Using WinBUGS provides an easily accessible introduction to the use of WinBUGS programming techniques in a variety of Bayesian modeling settings.

Drawing on the authors' varied experiences working and teaching in the field, Analysis of Multivariate Social Science Data, Second Editionenables a basic understanding of how to use key multivariate methods in the social sciences.

This textbook, now in its third edition, offers a rigorous and self-contained introduction to the theory of continuous-time stochastic processes, stochastic integrals, and stochastic differential equations.

Statistics of Financial Markets offers a vivid yet concise introduction to the growing field of statistical applications in finance.

This book provides an introduction to the field of microeconometrics through the use of R.

This graduate text presents the elegant and profound theory of continuous parameter Markov processes and many of its applications.

At the International Indian Statistical Association Conference, held at McMaster University in Ontario, Canada, participants focused on advancements in theory and methodology of probability and statistics.

This ASI- which was also the 28th session of the Seminaire de mathematiques superieures of the Universite de Montreal - was devoted to Fractal Geometry and Analysis.

Decoupling theory provides a general framework for analyzing problems involving dependent random variables as if they were independent.

This new edition updates Durbin & Koopman's important text on the state space approach to time series analysis.

This book discusses the systems of interacting particles evolving in the random media.

Assuming a basic knowledge of the frequentist approach to finite population sampling, Bayesian Methods for Finite Population Sampling describes Bayesian and predictive approaches to inferential problems with an emphasis on the likelihood principle.

Information Theory is studied from the following view points: (1) the theory of entropy as amount of information; (2) the mathematical structure of information sources (probability measures); and (3) the theory of information channels.

This book provides an undergraduate introduction to discrete and continuous-time Markov chains and their applications.

An understanding and working knowledge of the basic principles of statistics are of central importance in understanding the sport and health sciences.

Understanding Enzymes: Function, Design, Engineering, and Analysis focuses on the understanding of enzyme function and optimization gained in the past decade, past enzyme function analysis, enzyme engineering, and growing insights from the simulation work and nanotechnology measurement of enzymes in action in vitro or in silico.

There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis tractable and accessible to a wide audience.

When people or computers need to make a decision, typically multiple conflicting criteria need to be evaluated; for example, when we buy a car, we need to consider safety, cost and comfort.

This book constitutes the thoroughly refereed post-proceedings of the 15th International Workshop on Theoretic Foundations of Computer Vision, held as a Dagstuhl Seminar in Dagstuhl Castle, Germany, in June/July 2011.

This IMA Volume in Mathematics and its Applications HYDRODYNAMIC BEHAVIOR AND INTERACTING PARTICLE SYSTEMS is in part the proceedings of a workshop which was an integral part of the 1985-86 IMA program on STOCHASTIC DIFFERENTIAL EQUATIONS AND THEIR APPLICATIONS.

Bayesian adaptive designs provide a critical approach to improve the efficiency and success of drug development that has been embraced by the US Food and Drug Administration (FDA).

Dieses Buch widmet sich den mathematischen Grundlagen der Statistik und der Theorie von statistischen Schätz- und Testverfahren.

The idea of the Grobner basis first appeared in a 1927 paper by F.

This book is written for research students and early-career researchers to quickly and easily learn how to analyse data using SPSS.

We utilize statistics in our daily life: when we evaluate TV program ratings, predict voting results, prepare stocks, make sales predictions, and when we evaluate the effectiveness of medical treatments.

This book constitutes the refereed proceedings of the 21st International Conference on Analytical and Stochastic Modelling Techniques and Applications, ASMTA 2014, held in Budapest, Hungary, in June/July 2014.

Carefully designed for use by clinical and pharmaceutical researchers and scientists, Handbook of Regression Analysis and Modeling explores statistical methods that have been adapted into biological applications for the quickly evolving field of biostatistics.

Designed to help readers analyze and interpret research data using IBM SPSS, this user-friendly book shows readers how to choose the appropriate statistic based on the design; perform intermediate statistics, including multivariate statistics; interpret output; and write about the results.

An Introductory Econometrics TextMathematical Statistics for Applied Econometrics covers the basics of statistical inference in support of a subsequent course on classical econometrics.

In this book the authors have assembled the "e;best techniques from a great variety of sources, establishing a benchmark for the field of statistical computing.