Probability and statistics

This book sheds light on how Member States and EU neighbours relate to Russia.

Geographic information, spatial analysis and geospatial technologies play an important role in understanding changes in planetary health and in defining the drivers contributing to different health outcomes both locally and globally.

This book provides new theories, applications and quantitative methods in demography, population studies and statistics.

Lehrbuch der Statistik, das sich an einen Leser- und Nutzerkreis aus dem Bereich der Sozialpädagogik oder Sozialarbeit wendet.

The second edition of Empirical Bayes Methods details are provided of the derivation and the performance of empirical Bayes rules for a variety of special models.

Drug development is a strictly regulated area.

This book provides an introduction to the asymptotic theory of random summation, combining a strict exposition of the foundations of this theory and recent results.

This book fills an important gap in studies on D.

Like its bestselling predecessor, Multilevel Modeling Using R, Third Edition provides the reader with a helpful guide to conducting multilevel data modeling using the R software environment.

Reinforcement learning (RL) is a framework for decision making in unknown environments based on a large amount of data.

Clustering and Classification, Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of statistics, mathematics, computer science and artificial intelligence.

Enumerative Combinatorics presents elaborate and systematic coverage of the theory of enumeration.

Big Data Analytics: Digital Marketing and Decision-Making covers the advances related to marketing and business analytics.

This book examines in detail the correlation, more precisely the weighted correlation and applications involving rankings.

This book covers numerical methods for stochastic partial differential equations with white noise using the framework of Wong-Zakai approximation.

The Accreditation Board for Engineering and Technology (ABET) introduced a criterion starting with their 1992-1993 site visits that "e;Students must demonstrate a knowledge of the application of statistics to engineering problems.

This book is about how extreme and systemic risk can be analyzed in an integrated way.

This book is an introduction to the statistical analysis of word frequency distributions, intended for linguists, psycholinguistics, and researchers work- ing in the field of quantitative stylistics and anyone interested in quantitative aspects of lexical structure.

A comprehensive text and reference bringing together advances in the theory of probability and statistics and relating them to applications.

This work covers sequence-based protein homology detection, a fundamental and challenging bioinformatics problem with a variety of real-world applications.

The work is a context-oriented analysis and synthesis of complex engineered systems to ensure continuous and safe operations under conditions of uncertainty.

Mathematical Statistics for Economics and Business, Second Edition, provides a comprehensive introduction to the principles of mathematical statistics which underpin statistical analyses in the fields of economics, business, and econometrics.

This book gives the definitive mathematical answer to what thermodynamics really is: a variational calculus applied to probability distributions.

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This book discusses equi-quantile values and their use in generating decision alternatives under the twofold complexities of uncertainty and dependence, offering scope for surrogating between two alternative portfolios when they are correlated.

Multivariate Bonferroni-Type Inequalities: Theory and Applications presents a systematic account of research discoveries on multivariate Bonferroni-type inequalities published in the past decade.

This book discusses the theory, methods, and applications of flow of funds analysis.

This volume presents a selection of articles which explore methodological and applicative aspects of textual data analysis.

Polymers occur in many different states and their physical properties are strongly correlated with their conformations.

A versatile manual that can be used to stimulate product innovation, benchmarking analysis, and engineering design, this book goes beyond theory to provide relevant advanced methods and techniques that readers can apply in their work for both short- and long-term results.

Food webs hold a central place in ecology.

Integrates the theory and applications of statistics using R A Course in Statistics with R has been written to bridge the gap between theory and applications and explain how mathematical expressions are converted into R programs.

The book discusses various inequalities and sharp bounds for the usual order statistics as well as some functions of them.

There has recently been a renewal of interest in Fokker-Planck operators, motivated by problems in statistical physics, in kinetic equations, and differential geometry.

Fuzzy cognitive maps (FCMs) have gained popularity in the scientific community due to their capabilities in modeling and decision making for complex problems.

Fill in any gaps in your knowledge with this overview of key topics in undergraduate mathematics, now with four new chapters.

Behavioural Economics and Terrorism can be used as a guide to help us think about thinking and, in doing so, to appreciate the deep quirkiness of human behaviour.

This book evolved from lectures, courses and workshops on missing data and small-area estimation that I presented during my tenure as the ?

This book is devoted to a number of stochastic models that display scale invariance.

A demonstration of how time series econometrics can be used in economics and finance.

Three series of lectures were given at the 32nd Probability Summer School in Saint-Flour (July 7-24, 2002), by the Professors Pitman, Tsirelson and Werner.

Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies provides a comprehensive introduction to the multiple imputation approach to missing data problems that are often encountered in data analysis.

The book provides insights in the decision-making for implementing strategies in various spheres of real-world issues.

This book introduces key results essential for financial practitioners by means of concrete examples and a fully rigorous exposition.

A timely update of a highly popular handbook on statistical genomics This new, two-volume edition of a classic text provides a thorough introduction to statistical genomics, a vital resource for advanced graduate students, early-career researchers and new entrants to the field.

This new edition of the well established text Scheduling - Theory, Algorithms, and Systems provides an up-to-date coverage of important theoretical models in the scheduling literature as well as significant scheduling problems that occur in the real world.

A brand new, fully updated edition of a popular classic on matrix differential calculus with applications in statistics and econometrics This exhaustive, self-contained book on matrix theory and matrix differential calculus provides a treatment of matrix calculus based on differentials and shows how easy it is to use this theory once you have mastered the technique.

Sequential Analysis: Hypothesis Testing and Changepoint Detection systematically develops the theory of sequential hypothesis testing and quickest changepoint detection.

Data Science for Infectious Disease Data Analytics: An Introduction with R provides an overview of modern data science tools and methods that have been developed specifically to analyze infectious disease data.