Probability and statistics

Software reliability is one of the most important characteristics of software product quality.

It's been over a decade since the first edition of Measurement Error in Nonlinear Models splashed onto the scene, and research in the field has certainly not cooled in the interim.

Advances in graph-based natural language processing (NLP) and information retrieval tasks have shown the importance of processing using the Graph of Words method.

This book introduces basic concepts, principle, and methods of medical statistics systematically and practically, especially in the statistical design of the experiment in terms of the specific problems, adequate use of statistical methods based on actual data and the reasonable explanation for statistical results.

A timely book on a topic that has witnessed a surge of interest over the last decade, owing in part to several novel applications, most notably in data compression and computational molecular biology.

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Info-metrics is the science of modeling, reasoning, and drawing inferences under conditions of noisy and insufficient information.

This book introduces some recent developments in Bayesian real-time system identification.

This book is your comprehensive guide to building robust Generative AI solutions using the Databricks Data Intelligence Platform.

This book serves as an introductory text in mathematical programming and optimization for students having a mathematical background that includes one semester of linear algebra and a complete calculus sequence.

This book provides an overview of the risk components of CoCo bonds.

The next step in the evolution of the organizational quality field, Lean Six Sigma (LSS) has come of age.

The present book is devoted to studying optimal experimental designs for a wide class of linear and nonlinear regression models.

This introduction to visualization techniques and statistical models for second language research focuses on three types of data (continuous, binary, and scalar), helping readers to understand regression models fully and to apply them in their work.

An accessible, clearly organized survey of the basic topics of measure theory for students and researchers in mathematics, statistics, and physics In order to fully understand and appreciate advanced probability, analysis, and advanced mathematical statistics, a rudimentary knowledge of measure theory and like subjects must first be obtained.

A practical introduction perfect for final-year undergraduate and graduate students without a solid background in linear algebra and calculus.

Theory of logit analysis and estimation.

Praise for the First Edition"e;The main strength of this book is that it provides a unified framework of graphical tools for data analysis, especially for univariate and low-dimensional multivariate data.

This book discusses various partitioning strategies tailored for traditional machine learning algorithms.

Analyzing Longitudinal Clinical Trial Data: A Practical Guide provides practical and easy to implement approaches for bringing the latest theory on analysis of longitudinal clinical trial data into routine practice.

This book is about how statistics play a role in life, whether in business, psychology, biology, economics, or just about anything short of basket weaving.

Factor analysis is a statistical technique widely used in psychology and the social sciences.

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Das vorliegende Buch gibt eine umfassende Darstellung der in der ökonometrischen Literatur gebräuchlichen Ungleichgewichtsmodelle zusammen mit einer eingehenden theoretisch-statistischen Analyse der Identifizierbarkeits- und Schätzproblematik.

This volume constitutes the thoroughly refereed proceedings of the 23rd IFIP WG 1.

Research Methodology: Techniques and Trends focuses on both undergraduate and post graduate courses; and it helps readers understand the basic concepts and the application of results directly to real life business, industry and research organizations.

This book presents the Statistical Learning Theory in a detailed and easy to understand way, by using practical examples, algorithms and source codes.

This book provides an introduction to computer-based methods for the analysis of genomic data.

This monograph presents a time-dynamic model for multivariate claim counts in actuarial applications.

This book provides a thorough understanding of the techniques used to retrieve multi-scale information from turbulent and complex systems, with case studies.

This book is an easy-to-read reference providing a link between functional analysis and diffusion processes.

A unique point of this book is its low threshold, textually simple and at the same time full of self-assessment opportunities.

The First Detailed Account of Statistical Analysis That Treats Models as ApproximationsThe idea of truth plays a role in both Bayesian and frequentist statistics.

This book is the result of a spirited debate stimulated by a recent meeting of the Society of Multivariate Experimental Psychology.

In this era of global competition, the demands of customers are growing, and the quest for quality has never been more urgent.

The volume contains the proceedings of the 9th Workshop on Model-Oriented Design and Analysis.

Mathematical analyses and computational predictions of the behavior of complex systems are needed to effectively deal with weather and climate predictions, for example, and the optimal design of technical processes.

With data and AI increasingly at the forefront of business today, you have a significant advantage when you can manage data, and uncover and communicate data insights effectively.

The book contains review articles on recent advances in first-passage phenomena and applications contributed by leading international experts.

Classical probability theory provides information about random walks after a fixed number of steps.

Originally published in 1970; with a second edition in 1989.

Spatial data is crucial to improve decision-making in a wide range of fields including environment, health, ecology, urban planning, economy, and society.

Praise for the First Edition "e; .