Probability and statistics

This book discusses recent developments and the latest research in statistics and its applications, primarily in agriculture and industry, survey sampling and biostatistics, gathering articles on a wide variety of topics.

Covering aspects from principles and limitations of statistical significance tests to topic set size design and power analysis, this book guides readers to statistically well-designed experiments.

This book is an exploration of the people analytics possibility, bringing out both theoretical frameworks and detailed practical case studies from the author's experience in industry and business across both sides of the table, with an understanding of data science models and SMAC (Social, Mobile & Cloud) technologies underpinning it.

This book provides an undergraduate-level introduction to discrete and continuous-time Markov chains and their applications, with a particular focus on the first step analysis technique and its applications to average hitting times and ruin probabilities.

The series is designed to bring together those mathematicians who are seriously interested in getting new challenging stimuli from economic theories with those economists who are seeking effective mathematical tools for their research.

This book introduces readers to copula-based statistical methods for analyzing survival data involving dependent censoring.

This thesis develops a systematic, data-based dynamic modeling framework for industrial processes in keeping with the slowness principle.

This book systematically presents the topological structure of solution sets and attractability for nonlinear evolution inclusions, together with its relevant applications in control problems and partial differential equations.

This book provides a groundbreaking introduction to the likelihood inference for correlated survival data via the hierarchical (or h-) likelihood in order to obtain the (marginal) likelihood and to address the computational difficulties in inferences and extensions.

This book introduces academic researchers and professionals to the basic concepts and methods for characterizing interdependencies of multiple time series in the frequency domain.

The author investigates athermal fluctuation from the viewpoints of statistical mechanics in this thesis.

This is the first book to provide an accessible and comprehensive introduction to a newly developed smoothing technique using asymmetric kernel functions.

This book presents new findings on nonregular statistical estimation.

This book is an easily accessible and comprehensive guide which helps make sound statistical decisions, perform analyses, and interpret the results quickly using Stata.

The series is designed to bring together those mathematicians who are seriously interested in getting new challenging stimuli from economic theories with those economists who are seeking effective mathematical tools for their research.

Among the various multi-level formulations of mathematical models in decision making processes, this book focuses on the bi-level model.

The book describes the core resources in informatics necessary to support biomedical research programs and how these can best be integrated with hospital systems to receive clinical information that is necessary to conduct translational research.

This book highlights the estimation of crop yield in CentralGujarat, especially with regard to the development of Multiple RegressionModels and Principal Component Regression (PCR) models using climatologicalparameters as independent variables and crop yield as a dependent variable.

The series is designed to bring together those mathematicians who are seriously interested in getting new challenging stimuli from economic theories with those economists who are seeking effective mathematical tools for their research.

This book expounds the principle and related applications of nonlinear principal component analysis (PCA), which is useful method to analyze mixed measurement levels data.

This book integrates the fundamentals of asymptotic theory of statistical inference for time series under nonstandard settings, e.

This book provides a new analytical approach for dynamic data repeatedly measured from multiple subjects over time.

This book integrates the fundamentals of asymptotic theory of statistical inference for time series under nonstandard settings, e.

This thesis develops a systematic, data-based dynamic modeling framework for industrial processes in keeping with the slowness principle.

The author investigates athermal fluctuation from the viewpoints of statistical mechanics in this thesis.

This is the first book to provide an accessible and comprehensive introduction to a newly developed smoothing technique using asymmetric kernel functions.

This book, the sixth of 15 related monographs, discusses singularity and networks of equilibriums and 1-diemsnional flows in product quadratic and cubic systems.

Radio astronomy is irreversibly moving towards the exabyte era.

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This book explores the application of complex variables to econometric modeling.

This book focuses on nonlinear investing with a quantamental approach.

This book explores the application of complex variables to econometric modeling.

This book presents the fundamentals of stochastic thermodynamics, one of the most central subjects in non-equilibrium statistical mechanics.

The authors of this book assert that Grid Square statistics, a method of aggregating data within a geographically defined Grid, may be an effective solution to approach geospatial data for big data integration.

The main challenge in the study of nonautonomous phenomena is to understand the very complicated dynamical behaviour both as a scientific and mathematical problem.

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

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

This book is a collection of selected research papers presented at the Mathematics, Statistics and Computing Technology (ICMSCT2023), held at the UST Angelicum College, Philippines, from 20th to 21st September 2023.

This text gives a comprehensive, largely self-contained treatment of multivariate heavy tail analysis.

1.

Mathematisch-statistische Untersuchungen in der Technik stellen keine Sammlung von Daten oder Erkenntnissen dar, die neben den technischen Pro­ zessen einhergeht; sie sind vielmehr Vorgänge, die mehr oder weniger tief, mittelbar und unmittelbar in das Fabrikationsgeschehen eingreifen.

Am 9.

Vor allem aus zwei Gründen kann dieses Buch nur »elementare« statistische Techniken darstellen: Schon wegen der notwendigen Begrenzung des Text­ umfanges können kompliziertere statistische Verfahren wie Varianzanalyse, Faktorenanalyse oder Grundzüge der nichtparametrischen Statistik nicht in die Ausarbeitung aufgenommen werden.

This book provides advanced theoretical and applied tools for the implementation of modern micro-econometric techniques in evidence-based program evaluation for the social sciences.

This book explains the misuses and abuses of Null Hypothesis Significance Tests, which are reconsidered in light of Jeffreys' Bayesian concept of the role of statistical inference, in experimental investigations.

This 2nd edition compendium contains and explains essential statistical formulas within an economic context.

This richly illustrated textbook covers modern statistical methods with applications in medicine, epidemiology and biology.