Probability and statistics

This graduate textbook provides a detailed introduction to the probabilistic interpretation of nonlinear potential theory, relying on the recently introduced notion of tug-of-war games with noise.

A number of methodologies have been employed to provide decision making solutions to a whole assortment of financial problems in today's globalized markets.

This book provides a thorough understanding of distribution theory and data analysis using statistical software to solve problems related to basic statistics, probability models, and simulation.

Give Your Students the Proper Groundwork for Future Studies in OptimizationA First Course in Optimization is designed for a one-semester course in optimization taken by advanced undergraduate and beginning graduate students in the mathematical sciences and engineering.

In a world of soaring digitization, social media, financial transactions, and production and logistics processes constantly produce massive data.

Introduction to Probability Models, Ninth Edition, is the primary text for a first undergraduate course in applied probability.

No detailed description available for "e;Stochastic Geometry and Its Applications"e;.

This is a volume in memory of Vladas Sidoravicius who passed away in 2019.

Providing the expertise of an internal business consultant to one of the largest issuers of mortgage securities, Investing in Mortgage Securities serves as a high-level introduction to mortgage securities presented within the framework of fixed income securities.

Convex optimization has an increasing impact on many areas of mathematics, applied sciences, and practical applications.

This book helps readers bridge the gap between school-level mathematical skills and the quantitative and analytical skills required at the professional level.

This volume collects selected papers from the Ninth High Dimensional Probability Conference, held virtually from June 15-19, 2020.

Partial least squares (PLS) regression is, at its historical core, a black-box algorithmic method for dimension reduction and prediction based on an underlying linear relationship between a possibly vector-valued response and a number of predictors.

"e;Describes recent developments and surveys important topics in the areas of multivariate analysis, design of experiments, and survey sampling.

In recent years the significance of Gaussian processes to communication networks has grown considerably.

The second edition of Reverse Engineering of Algebraic Inequalities is a comprehensively updated new edition demonstrating the exploration of new physical realities in various unrelated domains of human activity through reverse engineering of algebraic inequalities.

Develop Effective Immunogenicity Risk Mitigation StrategiesImmunogenicity assessment is a prerequisite for the successful development of biopharmaceuticals, including safety and efficacy evaluation.

Techniques for interpreting commonly used discrete choice models, illustrated with extensive examples including replication code and data.

The present volume analyzes mathematical models of time-dependent physical p- nomena on three levels: microscopic, mesoscopic, and macroscopic.

With the support of the Office of Naval Research Program on Statistics and Probability (Dr.

How to Use SPSS(R) is designed with the novice computer user in mind and for people who have no previous experience using SPSS.

"e;Combat Modeling"e; is a systematic learning resource and reference text for the quantitative analysis of combat.

This is the first book to show the capabilities of Microsoft Excel to teach physical sciences statistics effectively.

The search for neutrinoless double beta decay is one of the highest priority areas in particle physics today; it could provide insights to the nature of neutrino masses (currently not explained by the Standard Model) as well as how the universe survived its early stages.

Recognized as a powerful tool for dealing with uncertainty, Markov modeling can enhance your ability to analyze complex production and service systems.

Handbook of Statistics: Disease Modelling and Public Health, Part B, Volume 37 addresses new challenges in existing and emerging diseases.

Biplots are a graphical method for simultaneously displaying two kinds of information; typically, the variables and sample units described by a multivariate data matrix or the items labelling the rows and columns of a two-way table.

Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to analyse data collected by psychologists and other behavioral scientists.

This book offers a detailed review of perturbed random walks, perpetuities, and random processes with immigration.

This unique book provides a comprehensive and detailed coverage of configural frequency analysis (CFA), the most useful method of analysis of categorical data in person-oriented research.

This text provides a solid understanding of the various statistical topics relevant to the design, monitoring, and analysis of a clinical trial.

Dieses anschauliche Lehrbuch vermittelt auf praxisbezogene Weise die Nutzung von Excel und VBA im Bereich der Stochastik.

This book includes the keynote lecture and fourteen selected papers that - scribe a general guideline and supporting concepts and tools for conceiving technology development as a grammar.

This book provides the mathematical definition of white noise and gives its significance.

I am deeply grateful to my advisor Prof.

A conceptually clear induction to fundamental analysis theorems, a tutorial for creative approaches for solving problems, a collection of modern challenging problems, a pathway to undergraduate research-all these desires gave life to the pages here.

Focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis in various disciplines.

This book gives a compact exposition of the fundamentals of the theory of locally convex topological vector spaces.

Semantic Network Analysis in Social Sciences introduces the fundamentals of semantic network analysis and its applications in the social sciences.

This book provides a comprehensive survey of the most recent methodology--both theoretical and applied--on the statistical analysis and detection of defective/"e;non-conforming"e; items in various types of inspection for attributes, when the inspection itself is subject to error.

Most engineering systems su?

Harness the full power of the behavioral data in your company by learning tools specifically designed for behavioral data analysis.

This volume presents some of the research topics discussed at the 2014-2015 Annual Thematic Program Discrete Structures: Analysis and Applications at the Institute of Mathematics and its Applications during the Spring 2015 where geometric analysis, convex geometry and concentration phenomena were the focus.

This volume contains a collection of studies in the areas of complexity theory and property testing.

Dieses Lehrbuch liefert einen verständnisorientierten Einstieg in die asymptotische Stochastik.

Stochastic geometry is the branch of mathematics that studies geometric structures associated with random configurations, such as random graphs, tilings and mosaics.

Around the world a multitude of surveys are conducted every day, on a variety of subjects, and consequently surveys have become an accepted part of modern life.