Probability and statistics

This book is meant for adoption in first courses on epidemiology in Medical Schools and Faculties of Public Health in developing and transition countries and in workshops in these countries, taught for example by members of international organizations.

It is widely recognized that the degree of development of a science is given by the transition from a mainly descriptive stage to a more quantitative stage.

The essence of any root cause analysis in our modern quality thinking is to go beyond the actual problem.

Whilst the greatest effort has been made to ensure the quality of this text, due to the historical nature of this content, in some rare cases there may be minor issues with legibility.

This book explores recent topics in quantitative finance with an emphasis on applications and calibration to time-series.

This textbook provides a wide-ranging introduction to the use and theory of linear models for analyzing data.

Traditionally, statistics and music are not generally associated with each other.

This book presents the latest findings on network theory and agent-based modeling of economic and financial phenomena.

Dieses Buch bietet Ihnen eine verständlich vermittelte Ausgangsbasis für die praktische Anwendung datenanalytischer Methoden, die sinnvolle Interpretation von Daten und die Ableitung von Informationen.

Learning from experience, making decisions on the basis of the available information, and proceeding step by step to a desired goal are fundamental behavioural qualities of human beings.

Exceptional managers know that they can create competitive advantages by basing decisions on performance response under alternative scenarios.

Bayesian nonparametrics comes of age with this landmark text synthesizing theory, methodology and computation.

This book provides an overview of cost-effectiveness analysis, which is a well-known and intuitive method for defining and choosing among a set of alternatives.

Statistical Techniques for Neuroscientists introduces new and useful methods for data analysis involving simultaneous recording of neuron or large cluster (brain region) neuron activity.

This volume deals with two complementary topics.

This book tries to do three things.

Unlike the first edition, the new edition has been split into two books.

This collection of selected, revised and extended contributions resulted from a Workshop on BSDEs, SPDEs and their Applications that took place in Edinburgh, Scotland, July 2017 and included the 8th World Symposium on BSDEs.

This book helps readers bridge the gap between school-level mathematical skills and the quantitative and analytical skills required at the professional level.

This monograph focuses on those stochastic quickest detection tasks in disorder problems that arise in the dynamical analysis of statistical data.

Making Sense of Statistics provides a thorough, but accessible, introduction to statistics and probability, without the distractions of mathematics.

In this text, modern applied mathematics and physical insight are used to construct the simplest and first nonlinear dynamical model for the Madden-Julian oscillation (MJO), i.

The Second Course in Statistics is an increasingly important offering since more students are arriving at college having taken AP Statistics in high school.

Future predictions are always a topic of interest.

This book shows the capabilities of Microsoft Excel in teaching marketing statistics effectively.

This encyclopedia will be an essential resource for our times, reflecting the fact that we currently are living in an expanding data-driven world.

Im Laufe der Jahrhunderte wurde in der Stochastik und in der in ihr verwendeten Kombinatorik eine Vielzahl von Problemen aufgeworfen, und diese höchst geistreich gelöst.

Sergio Albeverio gave important contributions to many fields ranging from Physics to Mathematics, while creating new research areas from their interplay.

This book constitutes the proceedings of the International Workshop on Computational Diffusion MRI, CDMRI 2021, which was held on October 1, 2021, in conjunction with MICCAI 2021.

This book gives a concise introduction to the classical theory of stochastic partial differential equations (SPDEs).

This volume provides a unique collection of mathematical tools and industrial case studies in digital manufacturing.

Similar to other data mining and machine learning tasks, multi-label learning suffers from dimensionality.

While continuing to focus on methods of testing for two-sided equivalence, Testing Statistical Hypotheses of Equivalence and Noninferiority, Second Edition gives much more attention to noninferiority testing.

This book provides a self-contained introduction to shrinkage estimation for matrix-variate normal distribution models.

In the past half-century the theory of probability has grown from a minor isolated theme into a broad and intensive discipline interacting with many other branches of mathematics.

The author investigates the Cramer Lundberg model, collecting the most interesting theorems and methods, which estimate probability of default for a company of insurance business.

This textbook reconstructs the statistics curriculum from the perspective of posterior probability.

Describes the selection, design, theory, and application of tests for normality.

This book consists of eighteen articles in the area of `Combinatorial Matrix Theory' and `Generalized Inverses of Matrices'.

Regression Estimators: A Comparative Study presents, compares, and contrasts the development and the properties of the ridge type estimators that result from both Bayesian and non-Bayesian (frequentist) methods.

Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical, biological and behavioral sciences.

This Second Edition updates the Solutions Manual for Econometrics to match the fourth edition of the Econometrics textbook.

Change is constant in everyday life.

This book does not focus solely on asymptotic extreme value distributions.

Just Enough R!

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

This volume collects selected papers from the 8th High Dimensional Probability meeting held at Casa Matematica Oaxaca (CMO), Mexico.

Rasch Measurement Theory Analysis in R provides researchers and practitioners with a step-by-step guide for conducting Rasch measurement theory analyses using R.

Filling the void between surveys of the field with relatively light mathematical content and books with a rigorous, formal approach to stochastic integration and probabilistic ideas, Stochastic Financial Models provides a sound introduction to mathematical finance.