Probability and statistics

Fuzzy data such as marks, scores, verbal evaluations, imprecise observations, experts' opinions and grey tone pictures, are quite common.

Research has generated a number of advances in methods for spatial cluster modelling in recent years, particularly in the area of Bayesian cluster modelling.

This book constitutes the refereed proceedings of the 20th International Conference on Computational Methods in Systems Biology, CMSB 2022, held in Bucharest, Romania, in September 2022.

Terrorist groups throughout the world have been studied primarily through the use of social science methods.

Quantum Probability and Related Topics is a series of volumes based on material discussed at the various QP conferences.

Filling a longstanding need in the physical sciences, Bayesian Inference offers the first basic introduction for advanced undergraduates and graduates in the physical sciences.

This book covers mathematical foundations and methods for the computerized analysis of shapes, providing the requisite background in geometry and functional analysis and introducing various algorithms and approaches to shape modeling, with a special focus on the interesting connections between shapes and their transformations by diffeomorphisms.

Forces shaping human history are complex, but the course of history is undeniably changed on many occasions by conscious acts.

Demonstrates how nonresponse in sample surveys and censuses can be handled by replacing each missing value with two or more multiple imputations.

Ole Martin extends well-established techniques for the analysis of high-frequency data based on regular observations to the more general setting of asynchronous and irregular observations.

Effectively Assess Intervention Options for Controlling Infectious DiseasesOur experiences with the human immunodeficiency virus (HIV), severe acute respiratory syndrome (SARS), and Ebola virus disease (EVD) remind us of the continuing need to be vigilant against the emergence of new infectious diseases.

R is a powerful tool for statistics and graphics, but getting started with this language can be frustrating.

A New Concept for Tuning Design Weights in Survey Sampling: Jackknifing in Theory and Practice introduces the new concept of tuning design weights in survey sampling by presenting three concepts: calibration, jackknifing, and imputing where needed.

The new edition of this innovative book, R Data Analysis without Programming, prepares the readers to quickly analyze data and interpret statistical results using R.

This book introduces readers to the fundamental concepts of Heart Rate Variability (HRV) and its most important analysis algorithms using a hands-on approach based on the open-source RHRV software.

Statistics for Finance develops students' professional skills in statistics with applications in finance.

This second of two volumes gives a modern exposition of the theory of Banach algebras.

Dieses Lehrbuch bietet neben einer umfassenden Darstellung der Theorie der Martingale in diskreter Zeit auch ausführliche Anwendungen.

Strong Approximations in Probability and Statistics presents strong invariance type results for partial sums and empirical processes of independent and identically distributed random variables (IIDRV).

Explaining how to improve our knowledge-based society, this book addresses problems in collecting, synthesizing, coordinating, and creating knowledge.

Fractional Brownian motion (fBm) is a stochastic process which deviates significantly from Brownian motion and semimartingales, and others classically used in probability theory.

The primary purpose of this textbook is to introduce the reader to a wide variety of elementary permutation statistical methods.

Fourier analysis is one of the most useful tools in many applied sciences.

This book highlights selected papers from the 4th ICSA-Canada Chapter Symposium, as well as invited articles from established researchers in the areas of statistics and data science.

This highly anticipated second edition features new chapters and sections, 225 new references, and comprehensive R software.

This book organizes and explains, in a systematic and pedagogically effective manner, recent advances in path integral solution techniques with applications in stochastic engineering dynamics.

Originally published in 1986, this book consists of 100 problems in probability and statistics, together with solutions and, most importantly, extensive notes on the solutions.

An Introduction to Measure-Theoretic Probability, Second Edition, employs a classical approach to teaching the basics of measure theoretic probability.

More work is being done in the statistical aspects of medical imaging, and this book fills the gap to provide a unified framework of study by presenting a complete look at medical imaging and statistics - from the statistical aspects of imaging technology to the statistical analysis of images.

This book illustrates the current work of leading multilevel modeling (MLM) researchers from around the world.

Alle Analysen werden an einem durchgehenden Fallbeispiel konkret und transparent durchgeführt Strukturgleichungsmodelle sind in allen Wissenschaftsdisziplinen von größter Bedeutung, da sie das Standardinstrument zur empirischen Prüfung von Hypothesensystemen darstellen.

The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics technique.

This text bridges the gap between sound theoretcial developments and practical, fruitful methodology by providing solid justification for standard symptotic statistical methods.

It is difficult to imagine that the statistical analysis of compositional data has been a major issue of concern for more than 100 years.

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

We stand at the threshold of an exciting era of Asteroseismology.

While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of variables linked by a statistical tool.

Time Series Analysis in Meteorology and Climatology provides an accessible overview of this notoriously difficult subject.

This book grew out of the 2021 Chapel Hill Ergodic Theory Workshop (https://ergwork.

This book provides an overview of the role of statistics in Risk Analysis, by addressing theory, methodology and applications covering the broad scope of risk assessment in life sciences and public health, environmental science as well as in economics and finance.

This volumepresents a collection of papers covering applications from a wide range ofsystems with infinitely many degrees of freedom studied using techniques fromstochastic and infinite dimensional analysis, e.

Sufficient dimension reduction is a rapidly developing research field that has wide applications in regression diagnostics, data visualization, machine learning, genomics, image processing, pattern recognition, and medicine, because they are fields that produce large datasets with a large number of variables.

The book brings together experts working in public health and multi-disciplinary areas to present recent issues in statistical methodological development and their applications.

This brief is a clear, concise description of the main techniques of time series analysis -stationary, autocorrelation, mutual information, fractal and multifractal analysis, chaos analysis, etc.