Probability and statistics

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

The seventh International Conference on Evolution Equations and their main areas of Applications (where the emphasis evolves as time and problems change) was held October 30 to November 4 at the CIRM (Centro Internazionale per la Ricerca Matematica) in Trento, Italy.

Graphical modelling is a form of multivariate analysis that uses graphs to represent models.

The field of spatial econometrics, which is concerned with statistical and econo- metric techniques to be used to handle spatial effects in multiregional models, was first touched upon in the 1950s.

Algorithms are the hidden methods that computers apply to process information and make decisions.

From a review of the first edition: "e;Modern Data Science with R.

Is adaptive randomization always better than traditional fixed-schedule randomization?

Focusing on Bayesian approaches and computations using analytic and simulation-based methods for inference, Time Series: Modeling, Computation, and Inference, Second Edition integrates mainstream approaches for time series modeling with significant recent developments in methodology and applications of time series analysis.

Every thought is a throw of dice.

The Heisenberg group comes from quantum mechanics and is the simplest non-commutative Lie group.

Written by a biostatistics expert with over 20 years of experience in the field, Bayesian Methods in Epidemiology presents statistical methods used in epidemiology from a Bayesian viewpoint.

Features a broad introduction to recent research on Turing s formula and presents modern applications in statistics, probability, information theory, and other areas of modern data science Turing's formula is, perhaps, the only known method for estimating the underlying distributional characteristics beyond the range of observed data without making any parametric or semiparametric assumptions.

The IUTAM Symposium on Advances in Nonlinear Stochastic Mechanics, held in Trondheim July 3-7, 1995, was the eighth of a series of IUTAM sponsored symposia which focus on the application of stochastic methods in mechanics.

In an increasingly data-centric world, we all need to know how to read and interpret statistics.

This book provides an account of the theoretical and methodological underpinnings of exponential random graph models (ERGMs).

An incomparably useful examination of statistical methods for comparison The nature of doing science, be it natural or social, inevitably calls for comparison.

Das vorliegende Fachbuch beinhaltet die Entwicklung von Ansätzen und Systematiken zur multivariaten Prozessanalyse und -validierung bei komplexen Hochpräzisionsfertigungen.

Keine ausführliche Beschreibung für "Mathematische Theorie der Zuverlässigkeit" verfügbar.

This coherent mathematical and statistical approach aimed at graduate students incorporates regression and topology as well as graph theory.

These volumes present a selection of Erich L.

This handbook provides an up-to-date survey of current research topics and applications of time series analysis methods written by leading experts in their fields.

Provides the tools needed to successfully perform adaptive tests across a broad range of datasets Adaptive Tests of Significance Using Permutations of Residuals with R and SAS illustrates the power of adaptive tests and showcases their ability to adjust the testing method to suit a particular set of data.

This Element explains the statistical foundations of computerized adaptive inventories and how to use the tools provided to implement them.

This book explores mathematics in a wide variety of applications, ranging from problems in electronics, energy and the environment, to mechanics and mechatronics.

Als weiterer Vertreter der "Einsteiger"-Reihe ist das vorliegende Buch als Lehr­ buch zwischen gymnasialem Mathematikunterrricht und Universität konzipiert.

The book describes the assessment of the risk and probability of occurrence of damage according to the Richter scale.

Giving much more attention to noninferiority testing, this second edition provides readers with a rich repertoire of efficient solutions to specific equivalence and noninferiority testing problems frequently encountered in the analysis of real data sets.

Researchers in fields ranging from biology and medicine to the social sciences, law, and economics regularly encounter variables that are discrete or categorical in nature.

The Handling of Chemical Data deals with how measurements, such as those arrived at from chemical experimentation, are handled.

Vorwort Die Einrichtung von Bachelor- und Master-Studiengängen an den deutschen U- versitäten und Hochschulen hat in logischer Konsequenz auch die Installation und Umsetzung geeigneter und effizienter Methoden der akademischen Bildung zur Folge.

Modern Actuarial Risk Theory contains what every actuary needs to know about non-life insurance mathematics.

Comprehensive guide to stochastic processes.

This book presents peer-reviewed articles and recent advances on the potential applications of Science and Mathematics for future technologies, from the 7th International Conference on the Applications of Science and Mathematics (SCIEMATHIC 2021), held in Malaysia.

Why let other people explain the world to you?

Extensively researched, this book traces the life and work of Abraham De Moivre as well as the state of probability and statistics in eighteenth-century Britain.

"e;Reliability Physics and Engineering"e; provides critically important information for designing and building reliable cost-effective products.

This book focuses on the probabilistic theory ofBrownian motion.

This book provides a broad introduction to the optimization techniques used in the design and manufacturing of epicyclic gearing.

This book constitutes the refereed proceedings of the 12th International Conference on Reachability Problems, RP 2018, held in Marseille, France, in September 2018.

This book offers readers an accessible introduction to the world of multivariate statistics in the life sciences, providing a comprehensive description of the general data analysis paradigm, from exploratory analysis (principal component analysis, self-organizing maps and clustering) to modeling (classification, regression) and validation (including variable selection).

Development of high-throughput technologies in molecular biology during the last two decades has contributed to the production of tremendous amounts of data.

This book provides a comprehensive introduction to statistical methods for designing early phase dose-finding clinical trials.