Probability and statistics

This book offers the reader a journey through the counterintuitive nature of Brownian motion under confinement.

The promotion of standards and guidelines to advance quality assurance and control is an integral part of the health care sector.

The Most Comprehensive Book on the SubjectChronicles the Development of the Weibull Distribution in Statistical Theory and Applied StatisticsExploring one of the most important distributions in statistics, The Weibull Distribution: A Handbook focuses on its origin, statistical properties, and related distributions.

Accessible to medicine- and/or public policy-related audiences, as well as most statisticians.

The main purpose of the book is to give a rigorous introduction to the most important and useful solution methods of various types of stochastic control problems for jump diffusions and their applications.

This book illuminates the complex process of problem solving, including formulating the problem, collecting and analyzing data, and presenting the conclusions.

Master the essential mathematical tools required for option pricing within the context of a specific, yet fundamental, pricing model.

Contributions to Correlational Analysis provides information pertinent to the fundamental aspects of correlational analysis that can be used to replace and enhance many of the parametric and nonparametric inferential statistical tests.

Markov processes play an important role in the study of probability theory.

How to be a Quantitative Ecologist: The 'A to R' of Green Mathematics and Statistics Ecological research is becoming increasingly quantitative, yet students often opt out of courses in mathematics and statistics, unwittingly limiting their ability to carry out research in the future.

In the ideal world, major decisions would be made based on complete and reliable information available to the decision maker.

Mathematicians call it the Monty Hall Problem, and it is one of the most interesting mathematical brain teasers of recent times.

Unlock the Power of Data Analysis with RWhether you are a researcher, student, or professional new to programming, this book provides a step-by-step guide to mastering R for quantitative and mixed-methods analysis.

The amount of data in medical databases doubles every 20 months, and physicians are at a loss to analyze them.

This book constitutes the refereed proceedings of the 20th European Workshop on Computer Performance Engineering, EPEW 2024, held in Venice, Italy, on June 14, 2024.

This book presents a greatly enlarged statistical framework compared to generalized linear models (GLMs) with which to approach regression modelling.

This book collects lectures given by the plenary speakers at the 10th International ISAAC Congress, held in Macau, China in 2015.

A more accurate title for this book might be: An Exposition of Selected Parts of Empirical Process Theory, With Related Interesting Facts About Weak Convergence, and Applications to Mathematical Statistics.

Supply Chain Management (SCM) is a wide field in which several specialties are included.

Bridging the gap between statistics texts and SAS documentation, Elementary Statistics Using SAS is written for those who want to perform analyses to solve problems.

Single-Arm Phase II Survival Trial Design provides a comprehensive summary to the most commonly- used methods for single-arm phase II trial design with time-to-event endpoints.

In recent years, there has been a rapid growth of location-based social networking services, such as Foursquare and Facebook Places, which have attracted an increasing number of users and greatly enriched their urban experience.

This book is the first in the literature to present the state of the art and some interesting and relevant applications of the Fuzzy Analytic Hierarchy Process (FAHP).

Karoline Kummerfeld geb.

Gather and analyze data successfully, identify trends, and then create overarching strategies and actionable next steps - all through Excel.

S-PLUS is a powerful environment for the statistical and graphical analysis of data.

Master the fundamentals to advanced techniques of causal inference through a practical, hands-on approach with extensive R code examples and real-world applicationsKey FeaturesExplore causal analysis with hands-on R tutorials and real-world examplesGrasp complex statistical methods by taking a detailed, easy-to-follow approachEquip yourself with actionable insights and strategies for making data-driven decisionsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionDetermining causality in data is difficult due to confounding factors.

This book provides a direct and comprehensive introduction to theoretical and numerical concepts in the emerging field of optimal control of partial differential equations (PDEs) under uncertainty.

Der "Sachs" ist das Standardwerk zum Lernen, Anwenden und Nachschlagen statistischer Methoden.

This 2003 book gives an integrated development of models and likelihood that blends theory and practice.

IBM (international business machines) has published in its SPSS statistical software 2022 update a very important novel regression method entitled Kernel Ridge Regression (KRR).

Focuses on practical application of spectral analysis of time series, with examples from environmental, engineering and physical sciences.

This volume contains two review articles: "e;Stochastic Pro- gramming"e; by Vo V.

These are the proceedings of the international conference on "e;Nonlinear numerical methods and Rational approximation II"e; organised by Annie Cuyt at the University of Antwerp (Belgium), 05-11 September 1993.

This book provides a concise yet rigorous introduction to probability theory.

This book focuses on the statistical aspects of the analysis of degradation data.

Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining.

With each methodology treated in its own chapter, this monograph is a thorough exploration of several theories that can be used to find explicit formulas for heat kernels for both elliptic and sub-elliptic operators.

In this work, the authors present a fully statistical approach to model non--native speakers' pronunciation.

This book comprises the select peer-reviewed proceedings of the International Conference on Hydro and Renewable Energy (ICHRE 2022).

This book presents a systematic treatment of Markov chains, diffusion processes and state space models, as well as alternative approaches to Markov chains through stochastic difference equations and stochastic differential equations.

A self-contained and relatively elementary 1982 introduction to functions of several complex variables and complex (especially compact) manifolds.

This book provides a short and concise introduction to Bayesian optimization specifically for experimental and computational materials scientists.

This monograph defines the notion of a "e;system"e; by reference to those systems which exhibit goal-oriented behavior and utilize the notion of decision making and controls.

With the boom of big data and machine learning and the subsequent need for parallel processing technologies, fork-join queues are more relevant now than ever before.

The investigation of the role of mechanical and mechano-chemical interactions in cellular processes and tissue development is a rapidly growing research field in the life sciences and in biomedical engineering.

This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using SPSS.