Probability and statistics

This book discusses Change Management Impact Analysis and how this method is used to analysis the risks and benefits of a change management initiative when it pertains to obtaining critical insight into how the change management program budget should be allotted.

Explaining how to improve our knowledge-based society, this book addresses problems in collecting, synthesizing, coordinating, and creating knowledge.

This monograph deals with spatially dependent nonstationary time series in a way accessible to both time series econometricians wanting to understand spatial econometics, and spatial econometricians lacking a grounding in time series analysis.

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2023, that was held on May 29-30, 2023 by NERIST and NIT Arunachal Pradesh India) is intended to be used as a reference book for researchers and professionals to share their research and reports of new technologies and applications in Machine Learning and Big Data Analytics like biometric Recognition Systems, medical diagnosis, industries, telecommunications, AI Petri Nets Model-Based Diagnosis, gaming, stock trading, Intelligent Aerospace Systems, robot control, law, remote sensing and scientific discovery agents and multiagent systems; and natural language and Web intelligence.

This volume presents a selection of texts that reflects the current research streams in probability, with an interest toward topics such as filtrations, Markov processes and Markov chains as well as  large deviations, Stochastic Partial Differential equations, rough paths theory, quantum probabilities and percolation on graphs.

The computational models of physical systems comprise parameters, independent and dependent variables.

IBM SPSS Statistics 29 Step by Step: A Simple Guide and Reference, eighteenth edition, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike.

This volume provides a comprehensive survey that covers various modern methods used for detecting and estimating change points in time series and their models.

Mathematicians have devised different chaotic systems that are modeled by integer or fractional-order differential equations, and whose mathematical models can generate chaos or hyperchaos.

Theory and Methods of Statistics covers essential topics for advanced graduate students and professional research statisticians.

Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data.

A web map is an interactive display of geographic information, in the form of a web page, that you can use to tell stories and answer questions.

Adaptive survey designs (ASDs) provide a framework for data-driven tailoring of data collection procedures to different sample members, often for cost and bias reduction.

The papers assembled in this book were presented at the biannual symposium of Inter- national Association for Statistical Computing in Neuchcitel, Switzerland, in August of 1992.

This two-volume set LNCS 11101 and 11102 constitutes the refereed proceedings of the 15th International Conference on Parallel Problem Solving from Nature, PPSN 2018, held in Coimbra, Portugal, in September 2018.

This title was originally published in 1974.

This book presents the fundamental theoretical notions of supervised machine learning along with a wide range of applications using Python, R, and Stata.

The aim of the book is to give a through account of the basic theory of extreme value distributions.

This book is an introduction to regression analysis, focusing on the practicalities of doing regression analysis on real-life data.

Bradley Efron explains how to perform thousands of simultaneous estimates and tests, as required by new scientific technology.

This book constitutes the refereed proceedings of the 20th International Conference on Distributed and Computer and Communication Networks, DCCN 2017, held in Moscow, Russia, in September 2017.

Those familiar with input-output analysis know well that compilation of input-output tables is a difficult statistical work.

This text is for a one semester graduate course in statistical theory and covers minimal and complete sufficient statistics, maximum likelihood estimators, method of moments, bias and mean square error, uniform minimum variance estimators and the Cramer-Rao lower bound, an introduction to large sample theory, likelihood ratio tests and uniformly most powerful tests and the Neyman Pearson Lemma.

This book consists of five parts written by different authors devoted to various problems dealing with probability limit theorems.

Sample Sizes for Clinical Trials, Second Edition is a practical book that assists researchers in their estimation of the sample size for clinical trials.

This book is aimed at conservation and development practitioners who need to learn and use R in a part-time professional context.

The book contains a detailed treatment of thermodynamic formalism on general compact metrizable spaces.

Congestion control algorithms were implemented for the Internet nearly two decades ago, but mathematical models of congestion control in such a large-scale network are relatively new.

This book is about learning from data using the Generalized Additive Models for Location, Scale and Shape (GAMLSS).

Statistics are often seen as simple, straightforward, and objective descriptions of society.

This book studies values and attitudes in the Gulf region.

Epilepsy research promises new treatments and insights into brain function, but statistics and machine learning are paramount for extracting meaning from data and enabling discovery.

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The Feynman integral is considered as an intuitive representation of quantum mechanics showing the complex quantum phenomena in a language comprehensible at a classical level.

Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies, commercial products, and future challenges.

The primary goal of this text is a practical one.

Small Area Estimation and Microsimulation Modeling is the first practical handbook that comprehensively presents modern statistical SAE methods in the framework of ultramodern spatial microsimulation modeling while providing the novel approach of creating synthetic spatial microdata.

This book discusses risk management, product pricing, capital management and Return on Equity comprehensively and seamlessly.

Infectious diseases are transmitted through variousdifferent mechanisms including person to personinteractions, by insect vectors and via verticaltransmission from a parent to an unborn offspring.

This bestselling text provides a practical guide to structural equation modeling (SEM) using the Amos Graphical approach.

Knowledge acquisition is one of the most important aspects influencing the quality of methods used in artificial intelligence and the reliability of expert systems.

Research Methodology is meant to provide a broad guideline to facilitate and steer the whole of a research activity in any discipline.

Barry Arnold has made fundamental contributions to many different areas of statistics, including distribution theory, Bayesian inference, multivariate analysis, bounds and orderings, and characterization problems.

This book has a distinct philosophy and it is appropriate to make it explicit at the outset.

Probability is tough - even those fairly well versed in statistical analysis balk at the prospect of tackling it.

Design and Analysis of Clinical Trials for Predictive Medicine provides statistical guidance on conducting clinical trials for predictive medicine.

This volume brings together the main results in the field of Bayesian Optimization (BO), focusing on the last ten years and showing how, on the basic framework, new methods have been specialized to solve emerging problems from machine learning, artificial intelligence, and system optimization.

Winner of the 2012 PROSE Award for Mathematics from The American Publishers Awards for Professional and Scholarly Excellence.