Probability and statistics

There is an increasing need for educational resources for statisticians and investigators.

This book presents the fundamental theoretical notions of supervised machine learning along with a wide range of applications using Python, R, and Stata.

On May 27-31, 1985, a series of symposia was held at The University of Western Ontario, London, Canada, to celebrate the 70th birthday of Pro- fessor V.

After the fundamental volume and the advanced technique volume, this volume focuses on R applications in the quantitative investment area.

Linear models, normally presented in a highly theoretical and mathematical style, are brought down to earth in this comprehensive textbook.

This book is intended to provide a text on statistical methods for detecting clus ters and/or clustering of health events that is of interest to ?

This 2nd edition textbook offers a rigorous introduction to measure theoretic probability with particular attention to topics of interest to mathematical statisticians-a textbook for courses in probability for students in mathematical statistics.

The worldwide economic recession of the last years - sometimes described as an outright depression similar to the one of the early thirties - has led many health policy analysts and even policy makers to revive the old question of whether, and in what respect, there is a close relationship between economic development and health.

With ever-rising healthcare costs, evidence generation through Health Economics and Outcomes Research (HEOR) plays an increasingly important role in decision-making about the allocation of resources.

As the first book of a three-part series, this book is offered as a tribute to pioneers in vision, such as Bela Julesz, David Marr, King-Sun Fu, Ulf Grenander, and David Mumford.

This book explains how approximate probability calculations make complex models tractable, with clear, simple explanations and real data examples.

This book is summarizing the results of the workshop "e;Uniform Distribution and Quasi-Monte Carlo Methods"e; of the RICAM Special Semester on "e;Applications of Algebra and Number Theory"e; in October 2013.

Subjective Well-Being and Social Media shows how, by exploiting the unprecedented amount of information provided by the social networking sites, it is possible to build new composite indicators of subjective well-being.

This volume presents selected and peer-reviewed contributions from the 14th Workshop on Stochastic Models, Statistics and Their Applications, held in Dresden, Germany, on March 6-8, 2019.

This book is a guide to non-academic careers for quantitative social scientists.

This brand-new book offers a reference guide to understanding and applying the rules for properly conducting clinical trials to meet the international quality standard - Good Clinical Practice - provided by the International Conference on Harmonization (ICH).

WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation.

Analyzing the phase transition from diffusive to localized behavior in a model of directed polymers in a random environment, this volume places particular emphasis on the localization phenomenon.

Wie kaum ein anderer Autor des Realismus ist Adalbert Stifter in den letzten 25 Jahren grundlegenden Umdeutungen unterzogen worden.

This volume collects the refereed contributions based on the presentations made at the Seventh Workshop on Advanced Mathematical and Computational Tools in Metrology, a forum for metrologists, mathematicians and software engineers that will encourage a more effective synthesis of skills, capabilities and resources.

This book is a collection of original research and survey articles on mathematical inequalities and their numerous applications in diverse areas of mathematics and engineering.

The field of econometrics has gone through remarkable changes during the last thirty-five years.

This volume consists of research papers dealing with computational and methodological issues of statistical methods on the cutting edge of modern science.

The advent of "e;Big Data"e; has brought with it a rapid diversification of data sources, requiring analysis that accounts for the fact that these data have often been generated and recorded for different reasons.

This book covers pseudorandom number generation algorithms, evaluation techniques, and offers practical advice and code examples.

The premise of Quality by Design (QbD) is that the quality of the pharmaceutical product should be based upon a thorough understanding of both the product and the manufacturing process.

Analysis of queues is used in a variety of domains including call centers, web servers, internet routers, manufacturing and production, telecommunications, transportation, hospitals and clinics, restaurants, and theme parks.

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This book is designed to provide beginning graduate stu- dents and advanced undergraduates with a rigorous and accessible foundation in the principles of probability and mathematical statistics underlying statis- tical inference in the fields of business and economics.

In Canada, acceptance sampling has been used in legal metrology applications for nearly four decades.

This book constitutes the refereed proceedings of the 12th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2012, held in Malaga, Spain, in April 2012, colocated with the Evo* 2012 events EuroGP, EvoBIO, EvoMUSART, and EvoApplications.

A much-needed reference on survey sampling and its applications that presents the latest advances in the field Seeking to show that sampling theory is a living discipline with a very broad scope, this book examines the modern development of the theory of survey sampling and the foundations of survey sampling.

Large biological data, which are often noisy and high-dimensional, have become increasingly prevalent in biology and medicine.

This book focuses on a central question in the field of complex systems: Given a fluctuating (in time or space), uni- or multi-variant sequentially measured set of experimental data (even noisy data), how should one analyse non-parametrically the data, assess underlying trends, uncover characteristics of the fluctuations (including diffusion and jump contributions), and construct a stochastic evolution equation?

This book presents important contributions to modern theories concerning the distribution theory applied to convex analysis (convex functions, functions of lower semicontinuity, the subdifferential of a convex function).

In 1948 the first randomized controlled trial was published by the English Medical Research Council in the British Medical Journal.

The aim of this textbook (previously titled SAS for Data Analytics) is to teach the use of SAS for statistical analysis of data for advanced undergraduate and graduate students in statistics, data science, and disciplines involving analyzing data.

This book integrates multiple criteria concepts and methods for problems within the Risk, Reliability and Maintenance (RRM) context.

Transform your data into insights with must-know techniques and mathematical concepts to unravel the secrets hidden within your dataKey FeaturesLearn practical data science combined with data theory to gain maximum insights from dataDiscover methods for deploying actionable machine learning pipelines while mitigating biases in data and modelsExplore actionable case studies to put your new skills to use immediatelyPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionPrinciples of Data Science bridges mathematics, programming, and business analysis, empowering you to confidently pose and address complex data questions and construct effective machine learning pipelines.

In the past decade there has been a worldwide evolution in evidence-based medicine that focuses on real-world Comparative Effectiveness Research (CER) to compare the effects of one medical treatment versus another in real world settings.

This classroom-tested textbook is an introduction to probability theory, with the right balance between mathematical precision, probabilistic intuition, and concrete applications.

Inspiration and provocation from a master expositor, taking you to the heart of contemporary probability.

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

Lecture notes and research papers on optimal transportation, its applications, and interactions with other areas of mathematics.

This book constitutes the refereed proceedings of the 7th Workshop on New Frontiers in Quantitative Methods in Informatics, InfQ 2017, held in Venice, Italy, in December 2017.