Probability and statistics

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Für die Aneignung statistischen Wissens und für die Fähigkeit, dieses Wissen in der Praxis anzuwenden, ist neben den beiden Bausteinen - Besuch statistischer Vorlesungen - Studium statistischer Lehrbücher der dritte Baustein - Bearbeiten von Übungsaufgaben erforderlich.

The present book develops the mathematical and numerical analysis of linear, elliptic and parabolic partial differential equations (PDEs) with coefficients whose logarithms are modelled as Gaussian random fields (GRFs), in polygonal and polyhedral physical domains.

Introduction to Machine Learning with Applications in Information Security, Second Edition provides a classroom-tested introduction to a wide variety of machine learning and deep learning algorithms and techniques, reinforced via realistic applications.

The book outlines the processes of calculating and critically reviewing construction costs and times for clients and contractors in different project phases.

Successfully navigating the data-driven economy presupposes a certain understanding of the technologies and methods to gain insights from Big Data.

Multi-objective programming (MOP) can simultaneously optimize multi-objectives in mathematical programming models, but the optimization of multi-objectives triggers the issue of Pareto solutions and complicates the derived answers.

In the field of molecular evolution, inferences about past evolutionary events are made using molecular data from currently living species.

A modern approach to statistical learning and its applications through visualization methods With a unique and innovative presentation, Multivariate Nonparametric Regression and Visualization provides readers with the core statistical concepts to obtain complete and accurate predictions when given a set of data.

This text brings together important ideas on the model-based approach to sample survey, which has been developed over the last twenty years.

The authors have taught statistics and given statistics workshops in France and the Netherlands for almost 4 years by now.

The second edition of Plane Answers has many additions and a couple of deletions.

Sample-Path Analysis of Queueing Systems uses a deterministic (sample-path) approach to analyze stochastic systems, primarily queueing systems and more general input-output systems.

Applied Missing Data Analysis in the Health Sciences A modern and practical guide to the essential concepts and ideas for analyzing data with missing observations in the field of biostatistics With an emphasis on hands-on applications, Applied Missing Data Analysis in the Health Sciences outlines the various statistical methods for the analysis of missing data.

The last decades have demonstrated that quantum mechanics is an inexhaustible source of inspiration for contemporary mathematical physics.

Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation.

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.

This second edition focuses on the application of statistical methods in the field of hydrology and hydroclimatology.

In an easy-to-understand, nontechnical yet mathematically elegant manner, An Introduction to Exotic Option Pricing shows how to price exotic options, including complex ones, without performing complicated integrations or formally solving partial differential equations (PDEs).

This book constitutes the proceedings of the 16th Russian Conference on Artificial Intelligence, RCAI 2018, Moscow, Russia, in September 2018.

Originally published in 1984.

This textbook, suitable for students, researchers and engineers, gathers the experience of more than 20 years of teaching fracture mechanics, fatigue and corrosion to professional engineers and running experimental tests and verifications to solve practical problems in engineering applications.

The stability analysis of stochastic models for telecommunication systems is an intensively studied topic.

S+Functional Data Analysis is the first commercial object oriented package for exploring, modeling, and analyzing functional data.

Since the beginning of the seventies computer hardware is available to use programmable computers for various tasks.

Unlock today''s statistical controversies and irreproducible results by viewing statistics as probing and controlling errors.

The aim of this book is to make a comprehensive review on some of the research topics in the area of survey sampling which has not been covered in any book yet.

An understanding and working knowledge of the basic principles of statistics are of central importance in understanding the sport and health sciences.

This book is a compilation of topics addressed by the ASA Biopharmaceutical Section work groups, including the etiology and evolution of the work groups, the work group guidelines and structure, and the statistical issues associated with clinical trials in clinical drug development programs.

The second edition of this successful and widely recognized textbook again focuses on discrete topics.

This monograph assesses in depth the application of recursive Bayesian filters in structural health monitoring.

An Introduction to R and Python for Data Analysis helps teach students to code in both R and Python simultaneously.

The fourth edition of this widely used textbook offers a new perspective.

Optimizing Method in Statistics is a compendium of papers dealing with variational methods, regression analysis, mathematical programming, optimum seeking methods, stochastic control, optimum design of experiments, optimum spacings, and order statistics.

Interviewer Effects from a Total Survey Error Perspective presents a comprehensive collection of state-of-the-art research on interviewer-administered survey data collection.

This book provides an analytical and computational approach to solving and simulating the Mahalanobis model and the papers surrounding it.

This book aims to provide a comprehensive statistical picture of the Russian economic development covering the Imperial, Soviet, and New Russian periods.

This book is a fresh approach to a calculus based, first course in probability and statistics, using R throughout to give a central role to data and simulation.

Combines algebra and statistics to explore the interplay between symmetry-related research questions and their statistical analysis.

Multi-valued and fuzzy logics provide mathematical and computational tools for handling imperfect information and decision-making with rational collective reasoning and irrational individual judgements.

This book constitutes the refereed proceedings of the 15th International Scientific Conference on Information Technologies and Mathematical Modeling, named after A.

This volume contains a selection of papers on recent developments in fields such as stochastic processes, multivariate data analysis and stochastic models in operations research, earth and life sciences and information theory, from an applicative perspective.

Written by some major contributors to the development of this class of graphical models, Chain Event Graphs introduces a viable and straightforward new tool for statistical inference, model selection and learning techniques.