Stochastics, Statistics kategória termékei

UPDATED FOR 2020 WITH A NEW PREFACE BY NATE SILVER "One of the more momentous books of the decade."-The New York Times Book Review Nate S...

The Fourth Edition has been carefully revised and updated to reflect current data.

In the 18th century, the British minister and mathematician Thomas Bayes devised a theorem that allowed him to assign probabilities to ev...

This book was written for those who need to know how to collect, analyze and present data. It is meant to be a first course for practitio...

The aim of this book is to bridge the gap between standard textbook models and a range of models where the dynamic structure of the data ...

This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. ...

A practical introduction perfect for final-year undergraduate and graduate students without a solid background in linear algebra and calc...

A New York Times Bestseller An audacious, irreverent investigation of human behavior-and a first look at a revolution in the making Our p...

A graduate-course text, written for readers familiar with measure-theoretic probability and discrete-time processes, wishing to explore s...

Statistics lectures have been a source of much bewilderment and frustration for generations of students. This book attempts to remedy the...

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for ma...

In the field of molecular evolution, inferences about past evolutionary events are made using molecular data from currently living specie...

This book illustrates how models of complex systems are built up and provides indispensable mathematical tools for studying their dynamic...

C. Doleans-Dade: Stochastic processes and stochastic differential equations.- A. Friedman: Stochastic differential equations and applicat...

This book introduces a new way to analyze multivariate data. The analysis of data based on multivariate spatial signs and ranks proceeds ...

Approximation theory and numerical analysis are central to the creation of accurate computer simulations and mathematical models. Researc...

Numerical analysis is the study of computation and its accuracy, stability and often its implementation on a computer. This book focuses ...

With an emphasis on models and techniques, this textbook introduces many of the fundamental concepts of stochastic modeling that are now ...

"Optimization and Regularization for Computational Inverse Problems and Applications" focuses on advances in inversion theory and recent ...

The Leibniz Supercomputing Centre (LRZ) and the Bavarian Competence Network for Technical and Scienti?c High Performance Computing (KONWI...

Over the past 10-15 years, we have seen a revival of general Levy ¿ processes theory as well as a burst of new applications. In the past,...

This volume contains several contributions on the general theme of dependence for several classes of stochastic processes, andits implica...

The present volume consists of papers written by students, colleagues and collaborators of Sreenivasa Rao Jammalamadaka from various coun...

This handbook aims to highlight fundamental, methodological and computational aspects of networks of queues to provide insights and to un...

Since its introduction in 1972, Stein's method has offered a completely novel way of evaluating the quality of normal approximations. Thr...

This is a new volume of the Séminaire de Probabilités which is now in its 43rd year. Following the tradition, this volume contains about ...

A fundamental statistical framework for the analysis of complex longitudinal data is provided in this book. It provides the first compreh...

In 1945, very early in the history of the development of a rigorous analytical theory of probability, Feller (1945) wrote a paper called ...

This book deals with parametric and nonparametric density estimation from the maximum (penalized) likelihood point of view, including est...

Biomechanics, part I & II, Gerhard A.

For almost fifty years, Richard M. Dudley has been extremely influential in the development of several areas of Probability. His work on ...

Probability theory is one branch of mathematics that is simultaneously deep and immediately applicable in diverse areas of human endeavor...

Intended as the text for a sequence of advanced courses, this book covers major topics in theoretical statistics in a concise and rigorou...

Statisticians and experimentalists will find the latest trends in optimal experimental design research. Some papers are pioneering contri...

This volume explores, from a mathematical and a philosophical perspective, the virtuous circle connecting logic and rationality. While lo...

"Hamiltonian Chaos Beyond the KAM Theory: Dedicated to George M. Zaslavsky (1935-2008)" covers the recent developments and advances in th...

The abstract branch of theoretical computer science known as Computation Theory typically appears in undergraduate academic curricula in ...

This book is a result of teaching stochastic processes to junior and senior undergr- uates and beginning graduate students over many year...

Complexity science has been a source of new insight in physical and social systems and has demonstrated that unpredictability and surpris...

A state-of-the-art research monograph providing consistent treatment of supervisory control, by one of the world's leading groups in the ...

Computational techniques based on simulation have now become an essential part of the statistician's toolbox. It is thus crucial to provi...

Stata is the most flexible and extensible data analysis package available from a commercial vendor. R is a similarly flexible free and op...

Dihedral Systems Nizar Demni. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153 M...

Multivariate normal and t probabilities are needed for statistical inference in many applications. Modern statistical computation package...

Provides a self-contained comprehensive treatment of both one-sample and K-sample goodness-of-fit methods by linking them to a common the...

Stable Lévy processes and related stochastic processes play an important role in stochastic modelling in applied sciences, in particular ...

th This volume contains a selection of 41 refereed papers presented at the 18 International Conference of Domain Decomposition Methods ho...

A self-contained introduction to probability, exchangeability and Bayes' rule provides a theoretical understanding of the applied materia...

This book contains the most comprehensive coverage available anywhere for two-level factorial designs. The re-analysis of 50 published ex...

This monograph, now in a thoroughly revised second edition, offers the latest research on random sets. It has been extended to include su...

Fracture, Fatigue, Failure and Damage Evolution, Volume 7 of the Proceedings of the 2017 SEM Annual Conference & Exposition on Experi...

This textbook examines empirical linguistics from a theoretical linguist's perspective. It provides both a theoretical discussion of what...

This book combines material from our previous books FP (Fuzzy Probabilities: New Approach and Applications,Physica-Verlag, 2003) and FS (...

The purpose of this text is to bring graduate students specializing in probability theory to current research topics at the interface of ...

This book presents new developments in non-local mathematical modeling and mathematical analysis on the behavior of solutions with novel ...

This book focuses on the statistical aspects of the analysis of degradation data. In recent years, degradation data analysis has come to ...

This book investigates the adsorption dynamics of water, methanol, ethanol, and ammonia vapor on loose and consolidated adsorbent beds, a...

This book employs game theory to warfare and in particular to military operations. It aims at scrutinizing the validity of the two ideas ...

This text takes readers in a clear and progressive format from simple to recent and advanced topics in pure and applied probability such ...

A group of scholars converging on a common and socially relevant economic theme of research, that of households' welfare and poverty, met...