Probability and statistics

Unlike traditional books presenting stochastic processes in an academic way, this book includes concrete applications that students will find interesting such as gambling, finance, physics, signal processing, statistics, fractals, and biology.

Die zunehmende Bedeutung der Statistik hat zur Folge, dass grundlegende Kennt­ nisse der statistischen Methodenlehre notwendig sind, um gesellschaftliche wie betriebliche Zusammenhänge erkennen und darstellen zu können.

This textbook provides an up-to-date treatment of the two-tier stochastic frontier model and its applications across the social sciences.

This book provides expository derivations for moments of a family of pseudo distributions, which is an extended family of distributions including the pseudo normal (PN) distributions recently proposed by the author.

Core Statistics is a compact starter course on the theory, models, and computational tools needed to make informed use of powerful statistical methods.

This edited collection discusses the emerging topics in statistical modeling for biomedical research.

The subject of this book is applied Bayesian methods for chemistry, manufacturing, and control (CMC) studies in the biopharmaceutical industry.

Statistical Models and Methods for Reliability and Survival Analysis brings together contributions by specialists in statistical theory as they discuss their applications providing up-to-date developments in methods used in survival analysis, statistical goodness of fit, stochastic processes for system reliability, amongst others.

This work explains the purpose of statistical methods in medical studies and analyzes the statistical techniques used by clinical investigators, with special emphasis on studies published in "e;The New England Journal of Medicine"e;.

Gerade deskriptive statistische Methoden haben in vielen wissenschaftlichen Disziplinen eine große Bedeutung.

Recent research in probability has been concerned with applications such as data mining and finance models.

This book studies values and attitudes in the Gulf region.

Bayesian variable selection has experienced substantial developments over the past 30 years with the proliferation of large data sets.

Designed to help readers analyze and interpret research data using IBM SPSS, this user-friendly book shows readers how to choose the appropriate statistic based on the design; perform intermediate statistics, including multivariate statistics; interpret output; and write about the results.

For one- or two-semester courses in Introductory Statistics.

The 49Th Scientific meeting of the Italian Statistical Society was held in June 2018 in Palermo, with more than 450 attendants.

Easy-to-Use Reference and Software for Statistical Modeling and TestingHandbook of Statistical Distributions with Applications, Second Edition provides quick access to common and specialized probability distributions for modeling practical problems and performing statistical calculations.

This book introduces advanced undergraduate, graduate students and practitioners to statistical methods for ranking data.

This book offers a multidisciplinary perspective on perceived safety.

This second of two Exercises in Analysis volumes covers problems in five core topics of mathematical analysis: Function Spaces, Nonlinear and Multivalued Maps, Smooth and Nonsmooth Calculus, Degree Theory and Fixed Point Theory, and Variational and Topological Methods.

This book describes some recent trends in GCM research on different subject areas, both theoretical and applied.

Principal component analysis is central to the study of multivariate data.

This book shows how quantitative central limit theorems can be deduced by combining two powerful probabilistic techniques: Stein''s method and Malliavin calculus.

Measurement in human services means one thing: how well the effort serves clients.

The focus of this book is the large-scale statistical behavior of solutions of divergence-form elliptic equations with random coefficients, which is closely related to the long-time asymptotics of reversible diffusions in random media and other basic models of statistical physics.

Surfaces are a central to geographical analysis.

This book constitutes an up-to-date account of principles, methods, and tools for mathematical and statistical modelling in a wide range of research fields, including medicine, health sciences, biology, environmental science, engineering, physics, chemistry, computation, finance, economics, and social sciences.

Presents basic and advanced methods with a focus on demonstrated added value for a broad class of public health surveillance problems.

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This textbook addresses postgraduate students in applied mathematics, probability, and statistics, as well as computer scientists, biologists, physicists and economists, who are seeking a rigorous introduction to applied stochastic processes.

The volume is dedicated to Lev Sakhnovich, who made fundamental contributions in operator theory and related topics.

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This invaluable, jargon-free guide to essential medical terminology in an accessible A-Z format is ideal for medical, allied health and biomedical science students and researchers, clinicians and health care practitioners.

In three chapters on Exponential Martingales, BMO-martingales, and Exponential of BMO, this book explains in detail the beautiful properties of continuous exponential martingales that play an essential role in various questions concerning the absolute continuity of probability laws of stochastic processes.

This collection contains invited papers by distinguished statisticians to honour and acknowledge the contributions of Professor Dr.

At a round table discussion on the eukaryotic chromosome sponsor- ed by the Deutsche Forschungsgemeinschaft in Diisseldorf, February 1978, the botanists among the participants felt that plant systems were under-represented.

This second edition of the popular textbook contains a comprehensive course in modern probability theory, covering a wide variety of topics which are not usually found in introductory textbooks, including: * limit theorems for sums of random variables* martingales* percolation* Markov chains and electrical networks* construction of stochastic processes* Poisson point process and infinite divisibility* large deviation principles and statistical physics* Brownian motion* stochastic integral and stochastic differential equations.

From Combinatorics to Philosophy: The Legacy of G.

This text shows how to use multivariate analysis to extract useful information from multivariate data and understand the structure of random phenomena.

This book summarises for the first time all relevant methodologies for type-based flood statistics, introduces the basis of flood typology and makes them accessible to the user.

This books reviews and brings readers up to date with the latest research knowledge on road traffic safety.

R for Quantitative Chemistry is an exploration of how the R language can be applied to a wide variety of problems in what is typically termed "e;Quantitative Chemistry"e; or sometimes "e;Analytical Chemistry"e;.

An exploration of the statistical foundations of scientific inference, The Nature of Scientific Evidence asks what constitutes scientific evidence and whether scientific evidence can be quantified statistically.

The book contains the main results of class field theory and Artin L functions, both for number fields and function fields, together with the necessary foundations concerning topological groups, cohomology, and simple algebras.

Applied sciences, both physical and social, such as atmospheric, biological, climate, demographic, economic, ecological, environmental, oceanic and political, routinely gather large volumes of spatial and spatio-temporal data in order to make wide ranging inference and prediction.