Probability and statistics

Operations Research: A Practical Introduction is just that: a hands-on approach to the field of operations research (OR) and a useful guide for using OR techniques in scientific decision making, design, analysis and management.

This practical text is an essential source of information for those wanting to know how to deal with the variability that exists in every engineering situation.

Winner of the 2024 De Groot Prize awarded by the International Society for Bayesian Analysis (ISBA)Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data.

These Lecture Notes provide an introduction to the study of those discrete surfaces which are obtained by randomly gluing polygons along their sides in a plane.

This textbook provides clear and accessible guidance on the importance and practical application of mixed-methods research.

The reproducing kernel Hilbert space construction is a bijection or transform theory which associates a positive definite kernel (gaussian processes) with a Hilbert space offunctions.

The first edition of Theory of Rank Tests (1967) has been the precursor to a unified and theoretically motivated treatise of the basic theory of tests based on ranks of the sample observations.

Big Data and Information Theory are a binding force between various areas of knowledge that allow for societal advancement.

INLA stands for Integrated Nested Laplace Approximations, which is a new method for fitting a broad class of Bayesian regression models.

This book addresses one of the most important research activities in empirical macroeconomics.

Infinite-dimensional analysis and quantum probability have undergone significant developments in the last few years and created many applications.

In the summer of 1968 one of the present authors (LLC) had the pleasure of giving a sequence of lectures at the University of Mon- treal.

Nonparametric Models for Longitudinal Data with Implementations in R presents a comprehensive summary of major advances in nonparametric models and smoothing methods with longitudinal data.

Practical Business Statistics, Sixth Edition, is a conceptual , realistic, and matter-of-fact approach to managerial statistics that carefully maintains, but does not overemphasize, mathematical correctness.

In 1991, a subcommittee of the Federal Committee on Statistical Methodology met to document the use of indirect estimators - that is, estimators which use data drawn from a domain or time different from the domain or time for which an estimate is required.

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years.

This book constitutes the thoroughly refereed proceedings of the 27th International Conference on Computer Networks, CN 2020, held in June 2020.

This book focuses on multiple comparisons of proportions in multi-sample models with Bernoulli responses.

This textbook is devoted to the general asymptotic theory of statistical experiments.

This book collects together selected peer-reviewed contributions presented at the European Conference on Data Analysis, ECDA 2022, held in Naples, Italy, September 14-16, 2022.

The following topical subjects were discussed: quantum stochastic calculus; unbounded quantum dynamical system; the principles of nonstandard analysis that are fundamental to an understanding of a modern approach to stochastic analysis on fractals; Brownian motion on nested fractals; stable processes; stochastic modelling of sexually transmitted diseases.

Author's Note: The material of this book has been reworked and expanded with a lot more detail and published in the author's 2014 book "e;Upper and Lower Bounds for Stochastic Processes"e; (Ergebnisse Vol.

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One of Riskbook.

Exceptional managers know that they can create competitive advantages by basing decisions on performance response under alternative scenarios.

David Papineau presents a controversial view of human reason, portraying it as a normal part of the natural world, and drawing on the empirical sciences to illuminate its workings.

This book is about both the mathematics of sample surveys and about sample surveys.

This book gives readers a hands-on understanding of Excel-assisted statistical techniques to take effective business decisions.

This carefully curated volume presents an in-depth, state-of-the-art discussion on many applications of Synthetic Aperture Radar (SAR).

To large organizations, business intelligence (BI) promises the capability of collecting and analyzing internal and external data to generate knowledge and value, thus providing decision support at the strategic, tactical, and operational levels.

This book is a state of the art treatise on what has been done so far on measuring sustainability for decision making.

First systematic treatment of best-worst scaling, explaining how to implement, analyze, and apply the theory across a range of disciplines.

Multi-state models provide a statistical framework for studying longitudinal data on subjects when focus is on the occurrence of events that the subjects may experience over time.

How to make simple sense of complex statistics--from the author of Numbers Rule Your WorldWe live in a world of Big Data--and it's getting bigger every day.

Interpreting Statistics for Beginners teaches readers to correctly read and interpret results of basic statistical procedures as they are presented in scientific literature, and to understand what they can and cannot infer from such results.

Rapid technological advances in devices used for data collection have led to the emergence of a new class of longitudinal data: intensive longitudinal data (ILD).

This book summarizes the developments in stochastic analysis and estimation.

Many mathematical assumptions on which classical derivative pricing methods are based have come under scrutiny in recent years.

The birth of Islam over fourteen centuries ago was a monumental event in human history with an everlasting effect on humanity.

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision theory from a statistical perspective.