Stochastics, Statistics kategória termékei

The Signal and the Noise - Why So Many Predictions Fail--but Some Don't

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...

Statistics

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

Dataclysm - Love, Sex, Race, and Identity--What Our Online Lives Tell Us about Our Offline Selves

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

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...

How to Expect the Unexpected - The Science of Making Predictions and the Art of Knowing When Not To

'Absolutely fascinating' James O'Brien 'An exceptional book - readable, funny and more needed than ever' Dr Chris van Tulleken, bestselli...

Statistical Methodologies

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

Non-equilibrium Evaporation and Condensation Processes - Analytical Solutions

This present book is concerned with analytical approaches to statement and solution of problems of non-equilibrium evaporation and conden...

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...

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...

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.

The Nature of Statistical Learning Theory

The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It consi...

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...

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...

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...

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...

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...

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 ...

Bitcoin: A Game-Theoretic Analysis

The definitive guide to the game-theoretic and probabilistic underpinning for Bitcoin's security model. The book begins with an overview ...

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...

Stochastic Finance - An Introduction in Discrete Time

This book is an introduction to financial mathematics. It is intended for graduate students in mathematics and for researchers working in...

Survival Analysis - Proportional and Non-Proportional Hazards Regression

This book provides an extensive coverage of the methodology of survival analysis, ranging from introductory level material to deeper more...

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...

Multilevel Models - Applications using SAS®

Interest in multilevel statistical models for social science and public health studies has been aroused dramatically since the mid-1980s....

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...

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...

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 ...

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...

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...

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...

Functional Data Analysis with R and MATLAB

Scientists often collect samples of curves and other functional observations, and develop models where parameters are also functions. Thi...

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...

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...

Uncertainty - The Soul of Modeling, Probability & Statistics

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

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...

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...

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...

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...

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...

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...

Bayesian Networks - With Examples in R

The book introduces Bayesian networks using simple yet meaningful examples. Discrete Bayesian networks are described first followed by Ga...

Multilevel Analysis - An Introduction to Basic and Advanced Multilevel Modeling

The classic text in multilevel analysis, dealing with everything you need to know, has been hugely revised and added to and is supported ...

Biostatistics For Dummies

Score your highest in biostatistics Biostatistics is a required course for students of medicine, epidemiology, forestry, agriculture, bio...

Data Science Programming All-in-One For Dummies

Your logical, linear guide to the fundamentals of data science programming Data science is exploding--in a good way--with a forecast of 1...

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...

Proof and the Art of Mathematics

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

Schaum's Outline of Discrete Mathematics

Study smarter and stay on top of your discrete mathematics course with the bestselling Schaum's Outline-now with the NEW Schaum's app and...

Codeless Data Structures and Algorithms - Learn DSA Without Writing a Single Line of Code

In the era of self-taught developers and programmers, essential topics in the industry are frequently learned without a formal academic f...

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...

Probability and Statistical Inference, Global Edition

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

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...

The Practice of Statistics

This is the flash drive for The Practice of Statistics. The Practice of Statistics is the most trusted program for AP® Statistics because...

Practice of Statistics

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...

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...

How To Cheat with Statistics - And Get Away with It: From Data Snooping Over Kitchen Sink Regression To "Creative Reporting" - From Data Snooping over Kitchen Sink Regression to "Creative Reporting"

The book explains how to identify and catch statistical cheaters. The author came across many weaknesses and flaws in statistics through ...

Statistics with R - A Beginner's Guide

With a clear step-by-step approach explained using real world examples, this book provides the practical skills you need to use statistic...

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...

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...

Matched Sampling for Causal Effects

This selection of Donald B. Rubin's contributions to matched sampling includes classic theoretical studies and real applications.