Contains over 2500 equations and exhaustively covers not only nonparametrics but also parametric, semiparametric, frequentist, Bayesian, bootstrap, adaptive, univariate, and multivariate statistical methods, as well as practical uses of Markov chain models.
Contains over 2500 equations and exhaustively covers not only nonparametrics but also parametric, semiparametric, frequentist, Bayesian, bootstrap, ad...
This work examines theoretical issues, as well as practical developments in statistical inference related to econometric models and analysis. This work offers discussions on such areas as the function of statistics in aggregation, income inequality, poverty, health, spatial econometrics, panel and survey data, bootstrapping and time series.
This work examines theoretical issues, as well as practical developments in statistical inference related to econometric models and analysis. This wor...
This text reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, figures and tables, and computer simulations to develop and illustrate concepts. It is designed for two-semester of three-quarter courses allowing flexibility in the selection of topics beyond the core material. The book reinforces important ideas and emphasizes special techniques with drills and boxed summaries.
This text reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, figures a...
Summarizing developments and techniques in the field, this reference covers sample surveys, nonparametric analysis, hypothesis testing, time series analysis, Bayesian inference, and distribution theory for applications in statistics, economics, medicine, biology, engineering, sociology, psychology, and information technology. It supplies a geometric proof of an extended Gauss-Markov theorem, approaches for the design and implementation of sample surveys, advances in the theory of Neyman's smooth test, and methods for pre-test and biased estimation. It includes discussions ofsample size...
Summarizing developments and techniques in the field, this reference covers sample surveys, nonparametric analysis, hypothesis testing, time series...
An introduction to general theories of stochastic processes and modern martingale theory. The volume focuses on consistency, stability and contractivity under geometric invariance in numerical analysis, and discusses problems related to implementation, simulation, variable step size algorithms, and random number generation.
An introduction to general theories of stochastic processes and modern martingale theory. The volume focuses on consistency, stability and contractivi...
An examination of classic algorithms, geometric diagrams and mechanical principles for enhanced visualization of statistical estimation procedures and mathematical concepts in physics, engineering and computer programming.
An examination of classic algorithms, geometric diagrams and mechanical principles for enhanced visualization of statistical estimation procedures and...
Statistical distributions are one of the most important applied mathematical tools across a wide spectrum of disciplines, including engineering, biological sciences, and health and social sciences. Since they are used to model observed data and ultimately to develop inferential procedures, understanding the properties of statistical distributions is critical to developing optimal inferential methods and validating the resulting model assumptions. Advances on Models, Characterizations and Applications offers up-to-date information on many recent developments in the field. Comprising...
Statistical distributions are one of the most important applied mathematical tools across a wide spectrum of disciplines, including engineering, biolo...
Emphasizing the impact of computer software and computational technology on econometric theory and development, this text presents recent advances in the application of computerized tools to econometric techniques and practicesa focusing on current innovations in Monte Carlo simulation, computer-aided testing, model selection, and Bayesian methodology for improved econometric analyses.
"
Emphasizing the impact of computer software and computational technology on econometric theory and development, this text presents recent advances ...
This text provides a comprehensive description of a method of constructing a statistical model when only incomplete data is available. It then proposes specific estimation algorithms for solving various individual incomplete data problems. It discusses the realistic problems on the processing of missing values commonly seen in multidimensional data and the various methods to cope with them.
This text provides a comprehensive description of a method of constructing a statistical model when only incomplete data is available. It then propose...
