Probability and statistics

This volume gathers peer-reviewed contributions that address a wide range of recent developments in the methodology and applications of data analysis and classification tools in micro and macroeconomic problems.

Long before the age of "e;Big Data"e; or the rise of today's "e;self-quantifiers,"e; American capitalism embraced "e;risk"e;--and proceeded to number our days.

The theory and applications of random dynamical systems (RDS) are at the cutting edge of research in mathematics and economics, particularly in modeling the long-run evolution of economic systems subject to exogenous random shocks.

The process of developing predictive models includes many stages.

This book delves into contemporary business analytics techniques across sectors for critical decision-making.

In statistics, the sample maximum and sample minimum, also called the largest observation, and smallest observation, are the values of the greatest and least elements of a sample.

Since the publication of the second edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive modeling of health outcomes, and other spatial biostatistical areas.

This edited volume focuses on recent research results in classification, multivariate statistics and machine learning and highlights advances in statistical models for data analysis.

Winner of the 2017 AERA Division D Significant Contribution to Educational Measurement and Research Methodology Award!

1.

Unstructured Mining Approaches to Solve Complex Scientific ProblemsAs the volume of scientific data and literature increases exponentially, scientists need more powerful tools and methods to process and synthesize information and to formulate new hypotheses that are most likely to be both true and important.

Data fusion or statistical file matching techniques merge data sets from different survey samples to solve the problem that exists when no single file contains all the variables of interest.

?

This book first provides a review of various aspects of Bayesian statistics.

Advanced Real Analysis systematically develops those concepts and tools in real analysis that are vital to every mathematician, whether pure or applied, aspiring or established.

This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets.

Keep Up to Date with the Evolving Landscape of Space and Space-Time Data Analysis and ModelingSince the publication of the first edition, the statistical landscape has substantially changed for analyzing space and space-time data.

This book presents an up-to-date perspective on randomized response techniques (RRT).

We all know what randomness is.

This text presents the basic theory of random walks on infinite, finitely generated groups, along with certain background material in measure-theoretic probability.

Statistics for Business and Financial Economics, 3rd edition is the definitive Business Statistics book to use Finance, Economics, and Accounting data throughout the entire book.

Written by leading experts in an emerging field, this book offers a unique view of the theory of stochastic partial differential equations, with lectures on the stationary KPZ equation, fully nonlinear SPDEs, and random data wave equations.

This book gives a practical guide for designers and users in Information and Communication Technology context.

This book provides an account of multivariate reduced-rank regression, a tool of multivariate analysis that enjoys a broad array of applications.

Quantitative Analysis in Archaeology introduces the application of quantitative methods in archaeology.

When dealing with the design or with the application of any technical system, which is not quite simple and trivial, one has to face to the problem to determine the allowable de- viations of the system functions and the optimal vector of system parameter tolerances.

This volume includes the five lecture courses given at the CIME-EMS School on "e;Stochastic Methods in Finance"e; held in Bressanone/Brixen, Italy 2003.

Progressively more and more attention has been paid to how location affects health outcomes.

torch is an R port of PyTorch, one of the two most-employed deep learning frameworks in industry and research.

For undergraduate and graduate level courses that combines introductory statistics with data analysis or decision modeling.

This volume consists of about half of the papers presented during a three-day seminar on stochastic processes.

Stochastic Finance: An Introduction with Market Examples presents an introduction to pricing and hedging in discrete and continuous time financial models without friction, emphasizing the complementarity of analytical and probabilistic methods.

Ecologists and natural resource managers are charged with making complex management decisions in the face of a rapidly changing environment resulting from climate change, energy development, urban sprawl, invasive species and globalization.

Real-world evidence (RWE) has been at the forefront of pharmaceutical innovations.

Uno de los principios epistemológicos de valoración de la ciencia es que todo saber debe estar en la posesión de un objeto que causa, motiva y aviva el conocimiento.

This book is aimed at a wide range of readers who lack confidence in the mathematical and statistical sciences, particularly in the fields of Agriculture, Veterinary, Fishery, Dairy and other related areas.

This volume opens the world of free probability to a wide variety of readers.

The 2nd edition of this book is essentially an extended version of the 1st and provides a very sound overview of the most important special functions of Fractional Calculus.

This book presents some of the basic ideas and tools of quantum field theory to a mathematical audience.

This business analytics (BA) text discusses the models based on fact-based data to measure past business performance to guide an organization in visualizing and predicting future business performance and outcomes.

A comprehensive treatment of statistical experiments and an essential reference for mathematical statisticians.

Peruse the history of survey research and the essential conceptsfor data quality.

Probability for Statisticians is intended as a text for a one year graduate course aimed especially at students in statistics.