This book guides the reader through power and sample size calculations for a variety of study outcomes and designs and illustrates their implementation in R. It is designed to be used as a learning tool for students as well as a resource for exper...Daugiau...
Sampling (1967) aims to simplify sampling theory for social scientists, many of whom are unwilling mathematicians. It discusses percentages and weighted averages; frequency distributions, their means and variances; experimental and theoreti...Daugiau...
This book guides the reader through power and sample size calculations for a variety of study outcomes and designs and illustrates their implementation in R. It is designed to be used as a learning tool for students as well as a resource for exper...Daugiau...
During his long and distinguished career, J. Rowland Higgins (1935-2020) made a substantial impact on many mathematical fields through his work on sampling theory, his deep knowledge of its history, and his service to the community. This volume is a...Daugiau...
This book shows how to use sampling procedures for ecological and environmental studies. It incorporates both traditional sampling methods and recent developments in environmental and ecological sampling methods, including mark-recapture, adaptive...Daugiau...
This book focuses on the control and state estimation problems for dynamical network systems with complex samplings subject to various network-induced phenomena. It includes a series of control and state estimation problems tackled under the passi...Daugiau...
This fully updated second edition is an essential introduction to inferential statistics. It is the first introductory statistics text to use an estimation approach with meta-analysis from the start and also to explain the new and exciting Open Sc...Daugiau...
This fully revised and updated second edition is an essential introduction to inferential statistics. It is the first introductory statistics text to use an estimation approach from the start to help readers understand effect sizes, confidence inter...Daugiau...
This book is designed as a gentle introduction to the fascinating field of choice modeling and its practical implementation using the R language. Discrete choice analysis is a family of methods useful to study individual decision-making. With strong...Daugiau...
During his long and distinguished career, J. Rowland Higgins (1935-2020) made a substantial impact on many mathematical fields through his work on sampling theory, his deep knowledge of its history, and his service to the community. This volume is a...Daugiau...
Introduces the reader to methodologies in recovery problems for objects, such as functions and signals, from partial or indirect information. By avoiding extreme technicalities and elaborate proof techniques, this is an accessible resource for stude...Daugiau...
This edited collection commemorates the career of Dr. S. Lynne Stokes by highlighting recent advances in her areas of research interest, emphasizing practical applications and future directions. It serves as a collective effort of leading statisti...Daugiau...
Forecasting and Analytics with ADAM focuses on a time series model in Single Source of Error state space form, called ADAM (Augmented Dynamic Adaptive Model). The book demonstrates a holistic view to forecasting and time series analysis using dyna...Daugiau...
How large a sample size do I need for my study? Although one of the most commonly-asked questions in statistics, the importance of proper sample size estimation seems to be overlooked by many preclinical researchers. Over the past two decades, nume...Daugiau...
Sample Sizes for Clinical Trials, Second Edition is a practical book that assists researchers in their estimation of the sample size for clinical trials. Throughout the book there are detailed worked examples to illustrate both ho...Daugiau...
As a comprehensive textbook in survey sampling, this book discusses the inadequacies of classic, designed-based inferential procedures and provides alternative approaches in the form of model formulations, model-design-based procedures of analysis, i...Daugiau...
Multivariate matching and weighting are two modern forms of adjustment. The book is for researchers in medicine, economics, public health, psychology, epidemiology, public program evaluation, and statistics who examine evidence of the effects on h...Daugiau...
