Introducing the theory and tools of cognitive aspects of survey methodology (CASM)--a movement that has greatly contributed to the evolving field of survey methods research--this collection of monographs explores advances in the use of cognitive psychology and other sciences to improve the quality of data collected in surveys. In 22 articles commissioned specifically for this volume, leading survey researchers, social scientists, and statisticians from around the globe evaluate the advantages of interdisciplinary survey...
An accessible, clearly organized survey of the basic topics of measure theory for students and researchers in mathematics, statistics, and physics In order to fully understand and appreciate advanced probability, analysis, and advanced mathematical statistics, a rudimentary knowledge of measure theory and like subjects must first be obtained. The Theory of Measures and Integration illuminates the fundamental ideas of the subject-fascinating in their own right-for both students and researchers, providing a useful theoretical background as well as a solid foundation for further...
An accessible, clearly organized survey of the basic topics of measure theory for students and researchers in mathematics, statistics, and physics
The major approach of this volume is using simulation as a computational aid in dealing with and creating models of reality. The main objective is to incorporate simulation as an integral part of the interaction between data and the models which may have approximately generated them. It incorporates substantial resampling procedures in order to test hypothesis and obtain a notion of the variability of the data. Features of the book include: communicates an applications-oriented approach with numerous case studies throughout to support conceptual thinking; laced with tabular results; and...
The major approach of this volume is using simulation as a computational aid in dealing with and creating models of reality. The main objective is to ...
A unique introduction to the innovative methodology of statistical flowgraphs This book offers a practical, application-based approach to flowgraph models for time-to-event data. It clearly shows how this innovative new methodology can be used to analyze data from semi-Markov processes without prior knowledge of stochastic processes--opening the door to interesting applications in survival analysis and reliability as well as stochastic processes. Unlike other books on multistate time-to-event data, this work emphasizes reliability and not just biostatistics, illustrating each...
A unique introduction to the innovative methodology of statistical flowgraphs This book offers a practical, application-based approach to flowgr...
"Statistics for Research has other fine qualities besides superior organization. The examples and the statistical methods are laid out with unusual clarity by the simple device of using special formats for each. The book was written with great care and is extremely user-friendly."--The UMAP Journal
Although the goals and procedures of statistical research have changed little since the Second Edition of Statistics for Research was published, the almost universal availability of personal computers and statistical computing application packages have made it...
Praise for the Second Edition
"Statistics for Research has other fine qualities besides superior organization. The examples and the statistical meth...
Written for practitioners of data mining, data cleaning and database management.
Presents a technical treatment of data quality including process, metrics, tools and algorithms.
Focuses on developing an evolving modeling strategy through an iterative data exploration loop and incorporation of domain knowledge.
Addresses methods of detecting, quantifying and correcting data quality issues that can have a significant impact on findings and decisions, using commercially available tools as well as new algorithmic approaches.
Uses case studies to...
Written for practitioners of data mining, data cleaning and database management.
Presents a technical treatment of data quality incl...
This Set Contains: Continuous Multivariate Distributions, Volume 1, Models and Applications, 2nd Edition by Samuel Kotz, N. Balakrishnan and Normal L. Johnson Continuous Univariate Distributions, Volume 1, 2nd Edition by Samuel Kotz, N. Balakrishnan and Normal L. Johnson Continuous Univariate Distributions, Volume 2, 2nd Edition by Samuel Kotz, N. Balakrishnan and Normal L. Johnson Discrete Multivariate Distributions by Samuel Kotz, N. Balakrishnan and Normal L. Johnson Univariate Discrete Distributions, 3rd Edition by Samuel...
This Set Contains: Continuous Multivariate Distributions, Volume 1, Models and Applications, 2nd Edition by Samuel Kotz, N. Balakrishna...
Accessible, up-to-date coverage of a broad range of modern and traditional methods. The ability to understand and analyze categorical, or count, data is crucial to the success of statisticians in a wide variety of fields, including biomedicine, ecology, the social sciences, marketing, and many more. "Statistical Analysis of Categorical Data" provides thorough, clear, up-to-date explanations of all important methods of categorical data analysis at a level accessible to anyone with a solid undergraduate knowledge of statistics.
Featuring a liberal use of real-world examples as well as a...
Accessible, up-to-date coverage of a broad range of modern and traditional methods. The ability to understand and analyze categorical, or count, data ...
Wavelets provide the ability to describe local phenomena more accurately, especially where time and movement are vital, such as acoustics and seismic signals and in image analysis. Carefully balancing both statistical and mathematical techniques, this text is intended for use as part of an introductory course concerned with the interface of wavelets and statistical inference. It incorporates examples and applications, numerous computational exercises and problem/homework sets, and extensive references at the end of each chapter. Several novel and important wavelet applications in statistics...
Wavelets provide the ability to describe local phenomena more accurately, especially where time and movement are vital, such as acoustics and seismic ...
Regression analysis is the study of the dependence of a response variable on one or more predictor variables. It is among the most widely used methods in statistics. There are several ways to approach regression. First, the types of models that might be used have been expanded from the traditional linear and nonlinear regression models to generalised linear models (GLMs) and others. Second, non- and semi-parametric approaches have been tried, but these have as yet only a limited impact on the general practice of statistics. Finally, computer graphics, including high quality images, motion,...
Regression analysis is the study of the dependence of a response variable on one or more predictor variables. It is among the most widely used methods...
