“…Discusses continuous- and discrete-time estimators of statistical functions of generalized almost-cyclostationary processes and spectrally correlated processes.. …”

“…This volume represents a unique collection of researchers providing deep insights on the statistical analysis of big neuroimaging data…”

“…* The Research in Action feature links the concepts discussed in the chapter to actual industry practice * The case study at the end of each chapter acquaints learners with a variety of organizational scenarios that they may encounter in the future * Numerous examples and problems framed using real data from Indiastat.com and CMIE highlight the business applications of marketing research methods * Marginal definitions reinforce critical concepts and provide simple descriptions for complex theories * Modern statistical software programs explain multivariate statistical techniques using a step-by-step approach…”

“…Following in the tradition of the successful first edition, this book aims to make a wide range of statistical modeling applications accessible using tested code that can be readily adapted to the reader's own applications. …”

“…A joint production by six international organizations, this manual explores the conceptual and theoretical issues that national statistical offices should consider in the daily compilation of export and import price indices. …”

“…Use R programming to create data structures and perform extensive statistical data analysis and synthesis About This Video Tackle programming problems and explore both functional and object-oriented programming techniques Develop strategies to speed up your R code and become an expert in R programming in a practical manner Address the core problems of programming in R with the most popular R packages for common tasks In Detail R is a high-level statistical language and is widely used among statisticians and data miners to develop statistical applications. …”

“…Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python, Fourth Edition, is focused on the development and implementation of statistically motivated, data-driven techniques for digital image analysis of remotely sensed imagery and it features a tight interweaving of statistical and machine learning theory of algorithms with computer codes. …”

“…With easy to read, step-by-step flow diagrams on how to perform process capability studies and measurement process analyses, the book's coverage includes:The benefits of statistical process control over statistical product control…”

“…"This book introduces mathematical foundations of statistical modeling of natural language. The author attempts to explain a few statistical power laws satisfied by texts in natural language in terms of non-Markovian and non-hidden Markovian discrete stochastic processes with some sort of long-range dependence. …”

“…Jim Albert is Professor of Statistics at Bowling Green State University. He is Fellow of the American Statistical Association and is past editor of The American Statistician. …”

“…Recent trends, economic policy and short-term prospects in Luxembourg Statistical Annex…”

“…The book presents a qualitative and quantitative approach to understand, manage and enforce the integration of statistical concepts into quality control and quality assurance methods. …”