Probability and statistics

"e;Conjoint measurement is one of the most significant and most widely recognized methods in science as well as in practice for analyzing marketing problems.

This textbook explains the fundamentals of Markov Chain Monte Carlo (MCMC)  without assuming advanced knowledge of mathematics and programming.

Der "Sachs" ist das Standardwerk zum Lernen, Anwenden und Nachschlagen statistischer Methoden.

This brief reviews concepts of inter-relationship in modern industrial processes, biological and social systems.

This book constitutes the proceedings of the 16th International Conference on Information Technologies and Mathematical Modelling, ITMM 2017, held in Kazan, Russia, in September/October 2017.

This book explores minimum divergence methods of statistical machine learning for estimation,  regression, prediction, and so forth,  in which we engage in information geometry to elucidate their intrinsic properties of the corresponding loss functions, learning algorithms, and statistical models.

Preface to the English edition xiii Basic notations xv Introduction xvii amPl'ER 1.

This book discusses recent theoretical developments in agglomerative hierarchical clustering.

This introduction to distribution theory uses no measure theory, making it suitable for students in statistics and econometrics and researchers using statistical methods.

Commonly there is no natural place in a traditional curriculum for mathematics or statistics, where a bridge between theory and practice fits into.

Data Mining and Data Visualization focuses on dealing with large-scale data, a field commonly referred to as data mining.

A long time ago I started writing a book about Markov chains, Brownian motion, and diffusion.

Explore Theory and Techniques to Solve Physical, Biological, and Financial Problems Since the first edition was published, there has been a surge of interest in stochastic partial differential equations (PDEs) driven by the Levy type of noise.

Analysis, assessment, and data management are core competencies for operation research analysts.

Our book introduces a method to evaluate the accuracy of trend estimation algorithms under conditions similar to those encountered in real time series processing.

This 2004 book presents a fascinating collection of problems related to the Cauchy-Schwarz inequality and coaches readers through solutions.

This book introduces basic concepts of shape constrained inference and guides the reader to current developments in the subject.

This unique book officially defines microbiome statistics as a specific new field of statistics and addresses the statistical analysis of correlation, association, interaction, and composition in microbiome research.

This title was originally published in 1956.

This comprehensive edited volume is the first of its kind, designed to serve as a textbook for long-duration business analytics programs.

Remarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the growth of the new disciplines of data mining and machine learning, while the enormous success of the Human Genome Project has opened up the field of bioinformatics.

Machine learning and artificial intelligence increasingly use methodological tools rooted in statistical physics.

Under leadership of CT de Wit a large amount of modeling, building prototypes and also application, was carried out in the 1970s and 1980s.

This book provides a hands-on guide to how financial models are actually implemented and used in practice, on a daily basis, for pricing and risk-management purposes.

This volume represents the proceedings of the Ninth Annual MaxEnt Workshop, held at Dartmouth College in Hanover, New Hampshire, on August 14-18, 1989.

Tutorial chapters by leaders in the field introduce state-of-the-art methods to handle information integration problems of omics data.

This is the first work on Discrepancy Theory to show the present variety of points of view and applications covering the areas Classical and Geometric Discrepancy Theory, Combinatorial Discrepancy Theory and Applications and Constructions.

The main body of this book is devoted to statistical physics, whereas much less emphasis is given to thermodynamics.

when certain parameters in the problem tend to limiting values (for example, when the sample size increases indefinitely, the intensity of the noise ap- proaches zero, etc.

This textbook gives a comprehensive introduction to stochastic processes and calculus in the fields of finance and economics, more specifically mathematical finance and time series econometrics.

Multivariate statistics refer to an assortment of statistical methods that have been developed to handle situations in which multiple variables or measures are involved.

This book has a dual purpose.

In this book, the author rejects the theorem-proof approach as much as possible, and emphasize the practical application of econometrics.

Praise for the Second Edition "e;This book has never had a competitor.

Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions.

A key resource and framework for assessing the performance of competing entities, including forecasting models Advances in DEA Theory and Applications provides a much-needed framework for assessing the performance of competing entities with special emphasis on forecasting models.

This workshop was the first of its kind in bringing together researchers in probability theory, stochastic processes, insurance and finance from mainland China, Taiwan, Hong Kong, Singapore, Australia and the United States.

Metaheuristics for Resource Deployment under Uncertainty in Complex Systems analyzes how to set locations for the deployment of resources to incur the best performance at the lowest cost.

A bite-sized visual interactive guide to medical statistics for the beginner.

This book presents the proceedings of a workshop on community ecology organized at Davis, in April, 1986, sponsored by the Sloan Foundation.

Kawalec's monograph is a novel defence of the programme of inductive logic, developed initially by Rudolf Carnap in the 1950s and Jaakko Hintikka in the 1960s.

Linear models courses are often presented as either theoretical or applied.

This two-volume book offers a comprehensive treatment of the probabilistic approach to mean field game models and their applications.

The twenty-three papers in this volume are carefully selected, reviewed and revised for this volume, and are divided into two parts: Part 1: "e;On-line Control"e; with subchapters 1.

Focusing on the transnational LGBT movement that has gained unprecedented momentum, this study is a timely contribution to debates both scholarly and popular.