Probability and statistics

This book presents a critical review of the empirical literature that studies the efficiency of the forward and futures markets for foreign exchange.

An in-depth look at current issues, new research findings, andinterdisciplinary exchange in survey methodology andprocessing Survey Measurement and Process Quality extends the marriage oftraditional survey issues and continuous quality improvementfurther than any other contemporary volume.

Dieses Buch gibt eine Einführung in die Analyse multivariater Daten.

Univariate statistical analysis is concerned with techniques for the analysis of a single random variable.

This book introduces the ade4 package for R which provides multivariate methods for the analysis of ecological data.

Information Theory is studied from the following view points: (1) the theory of entropy as amount of information; (2) the mathematical structure of information sources (probability measures); and (3) the theory of information channels.

This influential book offers a probabilistic approach to scientific reasoning to resolve central issues in the philosophy of science.

An introduction to general theories of stochastic processes and modern martingale theory.

Dynamical Biostatistical Models presents statistical models and methods for the analysis of longitudinal data.

This book focuses on how to improve the quality management of official statistics in China.

This book introduces the formal foundations and practical applications of Bayesian networks.

The study of the ocean is almost as old as the history of mankind itself.

Many monitoring, forecasting, and control operations occur in settings where relationships among key measurements must be learned quickly.

This book reviews the latest risk-based techniques to protect national interests from invasive pests and pathogens before, at and within national borders.

This volume presents a collection of lecture notes of mini-courses taught at BICMR Summer School of Financial Mathematics, from May 29 to June 9, 2017.

This book provides a general presentation of knowledge and methods in mathematical modelling and simulation of individual plants.

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Now viewed as its own scientific discipline, clinical trial methodology encompasses the methods required for the protection of participants in a clinical trial and the methods necessary to provide a valid inference about the objective of the trial.

In many branches of science relevant observations are taken sequentially over time.

What is Big Data, and why should you care?

Simultaneous Differential Equations and Multi-Dimensional Vibrations is the fourth book within Ordinary Differential Equations with Applications to Trajectories and Vibrations, Six-volume Set.

This book was originally compiled for a course I taught at the University of Rochester in the fall of 1991, and is intended to give advanced graduate students in statistics an introduction to Edgeworth and saddlepoint approximations, and related techniques.

This second edition explores the relationship between elliptic and parabolic initial boundary value problems, for undergraduate and graduate students.

Addresses the challenges of building intelligent agents to cooperate on complex tasks in uncertain environments.

This book contains the latest advances in variational analysis and set / vector optimization, including uncertain optimization, optimal control and bilevel optimization.

A comprehensive introduction to bootstrap methods in the R programming environment Bootstrap methods provide a powerful approach to statistical data analysis, as they have more general applications than standard parametric methods.

This book contains hundreds of engaging, class-tested finance exercises (and detailed solutions) that test student understanding of the material.

Bringing together business and engineering to reliability analysis With manufactured products exploding in numbers and complexity, reliability studies play an increasingly critical role throughout a product's entire life cycle-from design to post-sale support.

Now in its second edition, this book introduces an approach to active system control.

Time series with mixed spectra are characterized by hidden periodic components buried in random noise.

Vorwort Dieses Buch ist aus Vorlesungen entstanden, die der Autor in den letzten fünfzehn Jahren vor Studierenden der Sozial-und Wirtschaftswissenschaften ge­ halten hat.

Following Ronald Reagan's statement to the Soviet press that living standards in the USSR were a third of that in the USA, this book was written to examine the CIA study upon which his statement was based.

Science aims at the discovery of general principles of special kinds that are applicable for the explanation and prediction of the phenomena of the world in the form of theories and laws.

Shorn of all subtlety and led naked out of the protec- tive fold of educational research literature, there comes a sheepish little fact: lectures don't work nearly as well as many of us would like to think.

This is the most comprehensive survey of the mathematical life of the legendary Paul Erdos (1913-1996), one of the most versatile and prolific mathematicians of our time.

Bayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian perspective.

Distribution-free statistical methods enable users to make statistical inferences with minimum assumptions about the population in question.

Cancer Clinical Trials: Current and Controversial Issues in Design and Analysis provides statisticians with an understanding of the critical challenges currently encountered in oncology trials.

Like the best-selling first two editions, A Handbook of Statistical Analyses using R, Third Edition provides an up-to-date guide to data analysis using the R system for statistical computing.

Often, when a new successful data processing techniques appears in one of the application areas, it then proves to be useful in many other areas.

The main focus of this book is on presenting advances in fuzzy statistics, and on proposing a methodology for testing hypotheses in the fuzzy environment based on the estimation of fuzzy confidence intervals, a context in which not only the data but also the hypotheses are considered to be fuzzy.

Simulation is the fastest developing branch in geostatistics, and simulating the facies inside reservoirs and orebodies is the most exciting part of this.

This book sets the stage of the evolution of corporate governance, laws and regulations, other forms of governance, and the interaction between data governance and other corporate governance sub-disciplines.

Presenting a study of geometric action functionals (i.

Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory is a survey of some important theoretical contributions, many of which have been proposed and developed in the Foundations of Genetic Algorithms series of workshops.