Probability and statistics

The theory of the measure of noncompactness has proved its significance in various contexts, particularly in the study of fixed point theory, differential equations, functional equations, integral and integrodifferential equations, optimization, and others.

In an increasingly data-centric world, we all need to know how to read and interpret statistics.

The theory of the measure of noncompactness has proved its significance in various contexts, particularly in the study of fixed point theory, differential equations, functional equations, integral and integrodifferential equations, optimization, and others.

This book provides a foundation in stochastic, linear, and mixed-integer programming algorithms with a focus on practical computer algorithm implementation.

This book tackles the question of why the brain is so difficult to fully understand.

Learning a computer language like R can be either frustrating, fun or boring.

In an increasingly data-centric world, we all need to know how to read and interpret statistics.

This book introduces all common errors in medical science fields and the ways to control them.

This textbook provides a unique instructional resource in experimental Physical Chemistry with case studies based on data taken from the scientific literature.

This book presents the first comprehensive and modern mathematical treatment of these mean field particle models, including refined convergence analysis on nonlinear Markov chain models.

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

In their bestselling MATHEMATICAL STATISTICS WITH APPLICATIONS, premiere authors Dennis Wackerly, William Mendenhall, and Richard L.

Ordered Regression Models: Parallel, Partial, and Non-Parallel Alternatives presents regression models for ordinal outcomes, which are variables that have ordered categories but unknown spacing between the categories.

Dieses Lehrbuch liefert einen verständnisorientierten Einstieg in die asymptotische Stochastik.

A discussion of the basic reliability concepts and models, this book is suitable for students of reliability engineering as well as for those who wish a supplement on applied survival data analysis.

This book focuses on correlation coefficients and its applications in applied science fields.

This book focuses on correlation coefficients and its applications in applied science fields.

This book provides solid sociological foundations to computational social science (CSS).

This book provides solid sociological foundations to computational social science (CSS).

This book is an autobiographical interview with Chinese Academician Yuan Wang on his experience in mathematical research.

This book is an autobiographical interview with Chinese Academician Yuan Wang on his experience in mathematical research.

This textbook teaches the basics of econometrics and focuses on the acquisition of methods and skills that are essential for any student to succeed in their studies, as well as for any practitioner interested in applying econometric techniques.

This textbook teaches the basics of econometrics and focuses on the acquisition of methods and skills that are essential for any student to succeed in their studies, as well as for any practitioner interested in applying econometric techniques.

This book examines several epistemological regimes in studies of numerical data over the last four centuries.

This book examines several epistemological regimes in studies of numerical data over the last four centuries.

Data clustering is a highly interdisciplinary field, the goal of which is to divide a set of objects into homogeneous groups such that objects in the same group are similar and objects in different groups are quite distinct.

This handbook shows readers how best to manage and manipulate data by using the DATA step in SAS, helping them avoid common problems when creating SAS data sets.

Available in English for the first time, this classic and influential book by the late Kohei Ohtsu presents real examples of ships in motion under irregular ocean waves, how to understand the characteristics of fluctuations of stochastic phenomena through spectral analysis methods and statistical modeling.

This book offers a one-stop resource for performing quantitative risk analyses.

One of the main issues in communications theory is measuring the ultimate data compression possible using the concept of entropy.

This practical and thorough book explains when and how to use models and techniques for the analysis of competing risks and intermediate states.

Fundamentals of Database Indexing and Searching presents well-known database searching and indexing techniques.

In longitudinal studies it is often of interest to investigate how a marker that is repeatedly measured in time is associated with a time to an event of interest, e.

The book Graph Theory and Decomposition covers major areas of the decomposition of graphs.

The book Graph Theory and Decomposition covers major areas of the decomposition of graphs.

Designed for students training to become biostatisticians as well as practicing biostatisticians, Inference Principles for Biostatisticians presents the theoretical and conceptual foundations of biostatistics.

This book addresses the interplay between stochastic processes and partial differential equations.

This book addresses the interplay between stochastic processes and partial differential equations.

Introduction to Nuclear Engineering serves as an accompanying study guide for a complete, introductory single-semester course in nuclear engineering.

Learning a computer language like R can be either frustrating, fun or boring.

This textbook provides a unique instructional resource in experimental Physical Chemistry with case studies based on data taken from the scientific literature.

This book introduces all common errors in medical science fields and the ways to control them.