Stochastics, Statistics kategória termékei

Statistical Methodologies

Statistical practices have recently been questioned by numerous independent authors, to the extent that a significant fraction of accepte...

Classification - the Ubiquitous Challenge - Proceedings of the 28th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Dortmund, March 9-11, 2004

Analysis III. Applications, and IV. Contest: Social Milieus in Dortmund.

Selecta III: Professor Sinai's Selected Papers

Yakov G Sinai is one of the most important and influential mathematicians and physicists. He won the Wolf Prize for Mathematics in 1997 a...

Philosophical and Methodological Debates in Public Health

This interdisciplinary volume gathers selected, refereed contributions on various aspects of public health from several disciplines and r...

Handbook of Partial Least Squares - Concepts, Methods and Applications

Partial Least Squares is a family of regression based methods designed for the an- ysis of high dimensional data in a low-structure envir...

Modern Biostatistical Methods for Evidence-Based Global Health Research

This book provides an overview of the emerging topics in biostatistical theories and methods through their applications to evidence-based...

Pupil Reactions in Response to Human Mental Activity

This book focuses on a development for assessing mental changes using eye pupil reactions, namely extracting emotional change from the re...

On the Langlands Program: Endoscopy and Beyond

"This is a collection of lecture notes from the minicourses in the December 2018 Langlands Workshop: Endoscopy and Beyond. The volume com...

Discrete Mathematics and Mathematical Modelling in the Digital Era - Icdm3de-2023, Gandhigram, India, March 23-25

This book features carefully selected research papers presented during the 9th International Conference on Discrete Mathematics and Mathe...

Probability and Stochastic Processes - A Volume in Honour of Rajeeva L. Karandikar

The book collects papers on several topics in probability and stochastic processes. These papers have been presented at a conference orga...

Statistics: The Art and Science of Learning from Data, Global Edition

Statistics: The Art and Science of Learning From Data, 5th Edition helps you understand what statistics is all about and learn the right ...

Stochastic Geometry - Lectures given at the C.I.M.E. Summer School held in Martina Franca, Italy, September 13-18, 2004

Stochastic Geometry is the mathematical discipline which studies mathematical models for random geometric structures, as they appear freq...

An Introduction to Continuous-Time Stochastic Processes - Theory, Models, and Applications to Finance, Biology, and Medicine

This textbook, now in its fourth edition, offers a rigorous and self-contained introduction to the theory of continuous-time stochastic p...

Stochastic Calculus - An Introduction Through Theory and Exercises

This book provides a comprehensive introduction to the theory of stochastic calculus and some of its applications. It is the only textboo...

Applied Multidimensional Scaling and Unfolding

This book introduces multidimensional scaling (MDS) and unfolding as data analysis techniques for applied researchers. MDS is used for th...

Response Surfaces, Mixtures, and Ridge Analyses

The authority on building empirical models and the fitting of such surfaces to data-completely updated and revised Revising and updating ...

Point Process Calculus in Time and Space - An Introduction with Applications

This book provides an introduction to the theory and applications of point processes, both in time and in space. Presenting the two compo...

Uncertainty - The Soul of Modeling, Probability & Statistics

This book presents a philosophical approach to probability and probabilistic thinking, considering the underpinnings of probabilistic rea...

Data-Driven Science and Engineering - Machine Learning, Dynamical Systems, and Control

Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with Python and MATLAB®, this textbook t...

Optimal Control Models in Finance - A New Computational Approach

The determination of optimal financing and investment strategies (optimal capital structure or optimal mix of funds, optimal portfolio ch...

Smoothing Spline Inference on Nonparametric Models

Markov Chains - Models, Algorithms and Applications

This new edition of Markov Chains: Models, Algorithms and Applications has been completely reformatted as a text, complete with end-of-ch...

Plane Answers to Complex Questions - The Theory of Linear Models

This textbook provides a wide-ranging introduction to the use and theory of linear models for analyzing data. The author's emphasis is on...

Probabilistic Networks and Expert Systems - Exact Computational Methods for Bayesian Networks

WINNER OF THE 2001 DEGROOT PRIZE! Probabilistic expert systems are graphical networks that support the modelling of uncertainty and decis...

The R Book

A start-to-finish guide to one of the most useful programming languages for researchers in a variety of fields In the newly revised Third...

Introductory Statistics with R

R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. R is now in ...

The Dynamics of Nonlinear Reaction-Diffusion Equations with Small Lévy Noise

This work considers a small random perturbation of alpha-stable jump type nonlinear reaction-diffusion equations with Dirichlet boundary ...

Selected Topics in Malliavin Calculus - Chaos, Divergence and So Much More

This book is not a research monograph about Malliavin calculus with the latest results and the most sophisticated proofs. It does not con...

Selected Topics in Malliavin Calculus - Chaos, Divergence and So Much More

This book is not a research monograph about Malliavin calculus with the latest results and the most sophisticated proofs. It does not con...

Lectures on the Nearest Neighbor Method

This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learn...

Catalan Numbers

Catalan numbers, named after the French-Belgian mathematician Eugène Charles Catalan (1814-1894), arise in a variety of combinatorial pro...

Simultaneous Statistical Inference - With Applications in the Life Sciences

This monograph will provide an in-depth mathematical treatment of modern multiple test procedures controlling the false discovery rate (F...

Tangles - A Structural Approach to Artificial Intelligence in the Empirical Sciences

The mathematical theory of tangles, the centrepiece of the celebrated Robertson-Seymour theory of graph minors, finds precise structure i...

The Concise Encyclopedia of Statistics

The Concise Encyclopedia of Statistics presents the essential information about statistical tests, concepts, and analytical methods in la...

Measure-valued Processes and Stochastic Flows

This book discusses the systems of interacting particles evolving in the random media. The focus is on the study of both the finite subsy...

Harmonic Mappings in the Plane

A comprehensive account, treating both the generalizations of univalent analytic functions and the connections with minimal surfaces.

From Classical Field Theory to Perturbative Quantum Field Theory

This book develops a novel approach to perturbative quantum field theory: starting with a perturbative formulation of classical field the...

Football Analytics with Python & R - Learning Data Science Through the Lens of Sports

Baseball is not the only sport to use "moneyball." American football teams, fantasy football players, fans, and gamblers are increasingly...

Analytic Number Theory and Algebraic Asymptotic Analysis

This monograph elucidates and extends many theorems and conjectures in analytic number theory and algebraic asymptotic analysis via the n...

Statics - Learning from Engineering Examples

This textbook introduces and explains the basic concepts on which statics is based utilizing real engineering examples. The authors empha...

An Accompaniment to Higher Mathematics

For Students Congratulations! You are about to take a course in mathematical proof. If you are nervous about the whole thing, this book i...

Discovering Statistics Using IBM SPSS Statistics

Everything a student needs to learn statistics starting from the basics and progressing onto sophisticated statistical modelling. A genui...

Computational Physics with R

Statistics

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

Generalized Linear Mixed Models - Modern Concepts, Methods and Applications

Generalized Linear Mixed Models: Modern Concepts, Methods and Applications (2nd edition) presents an updated introduction to linear model...

Understanding and Using Linear Programming

The book is an introductory textbook mainly for students of computer science and mathematics. Our guiding phrase is "what every theoretic...

Handbook of Scan Statistics

Scan statistics, one of the most active research areas in applied probability and statistics, has seen a tremendous growth during the las...

The Book of Numbers - From Zero to Infinity, an Entertaining List of Every Number That Counts

From zero to infinity, this entertaining hardback guide opens up a new world of knowledge based on the magic of numbers. Numbers have occ...

Hierarchical Archimedean Copulas

This book offers a thorough understanding of Hierarchical Archimedean Copulas (HACs) and their practical applications. It covers the basi...

Theory and Practice of Finite Elements

The origins of the finite element method can be traced back to the 1950s when engineers started to solve numerically structural mechanics...

Regression Analysis By Example Using R

A straightforward and concise discussion of the essentials of regression analysis In the newly revised sixth edition of Regression Analys...

Proof and the Art of Mathematics

An introduction to writing proofs, presented through compelling mathematical statements with interesting elementary proofs. This book off...

A First Course in Bayesian Statistical Methods

This book provides a compact self-contained introduction to the theory and application of Bayesian statistical methods. The book is acces...

Probability and Statistical Inference, Global Edition

For one- or two-semester courses in Probability, Probability & Statistics, or Mathematical Statistics. An authoritative introduction to a...

Linear Optimization - The Simplex Workbook

The Subject A little explanation is in order for our choice of the title Linear Opti- 1 mization (and corresponding terminology) for what...

Philosophy of Arithmetic - Psychological and Logical Investigations with Supplementary Texts from 1887-1901

This volume is a window on a period of rich and illuminating philosophical activity that has been rendered generally inaccessible by the ...

Simulation and Inference for Stochastic Processes with YUIMA - A Comprehensive R Framework for SDEs and Other Stochastic Processes

The YUIMA package is the first comprehensive R framework based on S4 classes and methods which allows for the simulation of stochastic di...

An Introduction to Statistical Learning - with Applications in R

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

Complex Analysis in Number Theory

This book examines the application of complex analysis methods to the theory of prime numbers. In an easy to understand manner, a connect...

Visual Analytics for Dashboards - A Step-By-Step Guide to Principles and Practical Techniques

This book covers the key principles, best practices, and practical techniques for designing and implementing visually compelling dashboar...