Probability and statistics

This book is devoted to a number of stochastic models that display scale invariance.

This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice.

A complete user''s guide to structural equations explaining the underlying principals and practical implementation of these methods.

This volume consists of a series of research papers presented at the conference Statistics 2011 Canada: 5th Canadian Conference in Applied Statistics held together with the 20th conference of the Forum for Interdisciplinary Mathematics titled, "e;Interdisciplinary Mathematical & Statistical Techniques"e;.

This book is a collection of papers on spatial statistics for remote sensing.

This book presents statistical processes for health care delivery and covers new ideas, methods and technologies used to improve health care organizations.

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 provides an overview of state-of-the-art uncertainty quantification (UQ) methodologies and applications, and covers a wide range of current research, future challenges and applications in various domains, such as aerospace and mechanical applications, structure health and seismic hazard, electromagnetic energy (its impact on systems and humans) and global environmental state change.

R for Political Data Science: A Practical Guide is a handbook for political scientists new to R who want to learn the most useful and common ways to interpret and analyze political data.

Most texts on experimental design fall into one of two distinct categories.

This brief describes the basics of Riemannian optimization-optimization on Riemannian manifolds-introduces algorithms for Riemannian optimization problems, discusses the theoretical properties of these algorithms, and suggests possible applications of Riemannian optimization to problems in other fields.

This book provides a new analytical approach for dynamic data repeatedly measured from multiple subjects over time.

Powerful analytical tools from statistical physics, guided by field observations are applied to spread of epidemics and movement ecology.

Placing data in the context of the scientific discovery of knowledge through experimentation, Practical Data Analysis for Designed Experiments examines issues of comparing groups and sorting out factor effects and the consequences of imbalance and nesting, then works through more practical applications of the theory.

Based on the many approaches available for dealing with large-scale systems (LSS), Decentralized Control and Filtering in Interconnected Dynamical Systems supplies a rigorous framework for studying the analysis, stability, and control problems of LSS.

Introduction to stochastic processes and their applications, and methods for numerical simulation, for graduate students and researchers in physics.

Least squares is probably the best known method for fitting linear models and by far the most widely used.

The causation space established in this book is a mathematical model of the random universe and a "e;living house"e; of all random tests and probability spaces.

Differential equations play a noticeable role in engineering, physics, economics, and other disciplines.

The growing perception of the public and politicians that life is extremely risky has led to a dramatic and increasing interest in risk analysis.

This volume is based on lectures notes for the courses delivered at the Cimpa Summer School: From Classical to Modern Probability, held at Temuco, Chile, be- th th tween January 8 and 26 , 2001.

This book is an introduction to financial mathematics.

An essential resource for constructing and analyzing advanced actuarial models Loss Models: Further Topics presents extended coverage of modeling through the use of tools related to risk theory, loss distributions, and survival models.

This book reveals the applications of AI and IoT in smart healthcare and medical systems.

Dataclusteringisacommontechniqueforstatisticaldataanalysis,whichisusedin many ?

This completely updated fourth edition is designed to provide safety professionals or those studying to become safety professionals with the basic methods and principles necessary to apply statistics properly.

This book belongs to the subject of control and systems theory.

This book provides insights into important new developments in the area of statistical quality control and critically discusses methods used in on-line and off-line statistical quality control.

Full of biological applications, exercises, and interactive graphical examples, this text presents comprehensive coverage of both modern analytical methods and statistical foundations.

This textbook provides an introduction to the free software Python and its use for statistical data analysis.

Solve the DVA/FVA Overlap Issue and Effectively Manage Portfolio Credit RiskCounterparty Risk and Funding: A Tale of Two Puzzles explains how to study risk embedded in financial transactions between the bank and its counterparty.

This is a statistical handbook of data about COMECON, the Council for Mutal Economic Assistance whose members include Bulgaria, CSSR, GDR, Hungary, Poland, Romania and the USSR.

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This expanded edition of the classic work on empirical processes now boasts several new proved theorems not in the first.

Il volume contiene in forma compatta il programma svolto negli insegnamenti introduttivi di statistica e tratta alcuni argomenti indispensabili per l'attività di ricerca, come ad esempio i metodi di simulazione Monte Carlo, le procedure di minimizzazione e le tecniche di analisi dei dati di laboratorio.

The volume represents presentations given at the 87th annual meeting of the Psychometric Society, held in Bologna, Italy at July 11-15, 2022.

In the last few decades the accumulation of large amounts of in- formation in numerous applications.

Recent advances in our understanding of instabilities in galactic type systems have led to an unravelling of some of the mysteries of what determines the form galaxies take.

Modern developments of Random Matrix Theory as well as pedagogical approaches to the standard core of the discipline are surprisingly hard to find in a well-organized, readable and user-friendly fashion.

This book addresses sample size and power in the context of research, offering valuable insights for graduate and doctoral students as well as researchers in any discipline where data is generated to investigate research questions.

This BASS book Series publishes selected high-quality papers reflecting recent advances in the design and biostatistical analysis of biopharmaceutical experiments - particularly biopharmaceutical clinical trials.

This book is a comprehensive and accessible introduction to the cross-entropy (CE) method.

Complexity science uses computation to explore the physical and social sciences.

Learn state-of-the-art methods for making logically sound decisions when faced with multiple conflicting objectives and uncertainty.

A hands-on introduction to the principles of Bayesian modeling using WinBUGS Bayesian Modeling Using WinBUGS provides an easily accessible introduction to the use of WinBUGS programming techniques in a variety of Bayesian modeling settings.

Statistik ist ganz sicher kein beliebtes, aber ein notwendiges und auch nützliches Thema.