The Craft of Political Research is a nontechnical introduction to research design and analysis in political science, emphasizing the choices we make when we design a research project and analyze its results.
Because estimation involves inferring information about an unknown quantity on the basis of available data, the selection of an estimator is influenced by its ability to perform well under the conditions that are assumed to underlie the data.
Stable Levy processes and related stochastic processes play an important role in stochastic modelling in applied sciences, in particular in financial mathematics.
Dieses Lehrbuch zeichnet sich durch eine verbale und leicht verständliche Beschreibung der in den Wirtschafts- und Sozialwissenschaften verwendeten statistischen Verfahren aus.
when certain parameters in the problem tend to limiting values (for example, when the sample size increases indefinitely, the intensity of the noise ap- proaches zero, etc.
Dynamische Systeme stellen einen unverzichtbaren Bestandteil mathematischer Modellbildung für Anwendungen aller Art dar, angefangen von Physik über Biologie bis hin zur Informatik.
This book constitutes the thoroughly refereed post-conference proceedings of the 5th International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2017, held in Melbourne, VIC, Australia, in August 2017, associated with IJCAI 2017, the 26th International Joint Conference on Artificial Intelligence.
This book contains new aspects of model diagnostics in time series analysis, including variable selection problems and higher-order asymptotics of tests.
This book has as main aim to be an introductory textbook of applied knowledge in Numerical Weather Prediction (NWP), which is a method of weather forecasting that employs: A set of equations that describe the flow of fluids translated into computer code, combined with parameterizations of other processes, applied on a specific domain and integrated in the basis of initial and domain boundary conditions.
Die zunehmende Bedeutung der Statistik hat zur Folge, dass grundlegende Ken- nisse der statistischen Methodenlehre notwendig sind, um gesellschaftliche wie betriebliche Zusammenhänge erkennen und darstellen zu können.
This book provides a systematic mathematical analysis of entropy and stochastic processes, especially Gaussian processes, and its applications to information theory.
How SAS Works is a textbook designed to span the gap between the SAS Institute's "e;Introductory Guide"e;, which is a very basic introduction to the SAS system, and the "e;User's Guide"e;, which is a reference tool for those already well versed in SAS.
On May 27-31, 1985, a series of symposia was held at The University of Western Ontario, London, Canada, to celebrate the 70th birthday of Pro- fessor V.
This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science.
This book provides readers with a timely snapshot of ergonomics research and methods applied to the design, development and evaluation, of products, systems and services.
This book provides sample exercises, techniques, and solutions to employ mathematical modeling to solve problems in Operations Research and Business Analytics.
This volume comprises the author's account of the development of novel results in random walk theory and its applications during the fractal and chaos revolutions.
Interpreting statistical data as evidence, Statistical Evidence: A Likelihood Paradigm focuses on the law of likelihood, fundamental to solving many of the problems associated with interpreting data in this way.
Presents a useful guide for applications of SEM whilst systematically demonstrating various SEM models using Mplus Focusing on the conceptual and practical aspects of Structural Equation Modeling (SEM), this book demonstrates basic concepts and examples of various SEM models, along with updates on many advanced methods, including confirmatory factor analysis (CFA) with categorical items, bifactor model, Bayesian CFA model, item response theory (IRT) model, graded response model (GRM), multiple imputation (MI) of missing values, plausible values of latent variables, moderated mediation model, Bayesian SEM, latent growth modeling (LGM) with individually varying times of observations, dynamic structural equation modeling (DSEM), residual dynamic structural equation modeling (RDSEM), testing measurement invariance of instrument with categorical variables, longitudinal latent class analysis (LLCA), latent transition analysis (LTA), growth mixture modeling (GMM) with covariates and distal outcome, manual implementation of the BCH method and the three-step method for mixture modeling, Monte Carlo simulation power analysis for various SEM models, and estimate sample size for latent class analysis (LCA) model.
Learn window function foundational concepts through a cookbook-style approach, beginning with an introduction to the OVER() clause, its various configurations in terms of how partitions and window frames are created, and how data is sorted in the partition so that the window function can operate on the partition data sets.
Statistical Theories and Methods with Applications to Economics and Business highlights recent advances in statistical theory and methods that benefit econometric practice.
This book concentrates on linear regression, path analysis and logistic regressions, the most used statistical techniques for the test of causal relationships.
This second volume of Analysis in Banach Spaces, Probabilistic Methods and Operator Theory, is the successor to Volume I, Martingales and Littlewood-Paley Theory.
In Space Debris Models and Risk Analysis the authors will provide the reader with a comprehensive background to understand the various sources of space debris, and to assess associated risks due to the current and future space debris environment.
Operations Research: A Practical Introduction is just that: a hands-on approach to the field of operations research (OR) and a useful guide for using OR techniques in scientific decision making, design, analysis and management.
