The book provides a foundational guide to statistical computing and visualisation Using R programming with an emphasis on practical data analysis skills that are directly applicable to diverse fields like finance, defence, health, and education....Loe edasi...
This uses MATLAB® for data analysis and statistics, offering a broad review of computational data analysis, in particular algebra, trigonometry, regression modeling, correlation, and graphical representation of results, covering both basic and more...Loe edasi...
In this book, readers embark on an in-depth journey into conducting complex survey analysis with the {srvyr} package and tidyverse family of functions from the R programming language. Additionally, this book teaches readers how to interpret and comm...Loe edasi...
This book is an introductory guide to programming and coding in Stata. Commonly encountered code in the field of medical statistics as well as the analyses of observational data are presented.This book covers loops and macros and then describes othe...Loe edasi...
(Ilmumisaeg: 08-Sep-2023, Kirjastus: Apple Academic Press Inc., ISBN-13: 9781003336303)
Discusses the distribution theory and data analysis using statistical software to solve problems related to basic statistics, probability models, and simulation. It discusses stochastic methods and other statistical methods and shows multiple actual...Loe edasi...
The book describes methods and techniques of spatial data and its use in monitoring agricultural resources, farms management and regional markets. Spatial econometrics models for different data types relevant to statistical units adopted in typical...Loe edasi...
Energy statistics are functions of distances between statistical observations in metric spaces. The authors hope this book will spark the interest of most statisticians who so far have not explored E-statistics and would like to apply these new meth...Loe edasi...
Statistics and Data Visualisation with Python aims to build statistical knowledge from the ground up by enabling the reader to understand the ideas behind inferential statistics, and begin to formulate hypotheses that form the foundations for the ap...Loe edasi...
The new edition of this innovative book prepares the readers to quickly analyse data and interpret statistical results using R. Professor Gerbing has developed lessR, which is a ground-breaking method in alleviating the challenges of R programming a...Loe edasi...
How to apply spatial models using R to a wide range of data used in political science. Models are similar to multidimensional scaling models long used in Psychology and MDS models overage. Aimed at graduate students and researchers with basic knowle...Loe edasi...
This book is designed to make spatio-temporal modeling and analysis understandable to students and researchers, mathematicians and statisticians and practitioners in the applied sciences. By avoiding hardcore math and calculus, this book aims to be...Loe edasi...
This third edition covers todays most commonly used techniques in computational statistics while maintaining the same philosophy and writing style of the bestselling previous editions. This edition uses the latest version of MATLAB® and the correspo...Loe edasi...
This book is intended for students, researchers and industry experts working in area of computational electromagnetics and the MoM. Providing a bridge between theory and software implementation, the book incorporates significant background material,...Loe edasi...
This book gives a non-technical overview of robust data reduction techniques, encouraging the use of these important and useful methods in practical applications. The main areas covered include principal components analysis, sparse principal compone...Loe edasi...
Avoiding vector spaces and other advanced mathematics, this book shows how to manipulate matrices and perform numerical calculations in R. It provides a guide to elementary matrix algebra sufficient for undertaking specialized courses, such as multi...Loe edasi...
This book is envisioned as companion to a traditional statistics or biostatistics textbook, with each chapter covering usual topics such as descriptive statistics, regression, and hypothesis testing. However, each chapter will present its material u...Loe edasi...
