Warez.Ge

This is a sample guest message. Register a free account today to become a member! Once signed in, you'll be able to participate on this site by adding your own topics and posts, as well as connect with other members through your own private inbox!

Descriptive Statistics for Scientists and Engineers Applications in R (Synthesis Lectures on Mathematics & Statistics)

voska89

Moderator
Staff member
Top Poster Of Month
efff3c5cf2fa2bbd4dae6f3bc45ca5ac.webp

Free Download Descriptive Statistics for Scientists and Engineers: Applications in R (Synthesis Lectures on Mathematics & Statistics) by Rajan Chattamvelli, Ramalingam Shanmugam
English | June 22, 2023 | ISBN: 3031323297 | 141 pages | MOBI | 11 Mb
This book introduces descriptive statistics and covers a broad range of topics of interest to students and researchers in various applied science disciplines. This includes measures of location, spread, skewness, and kurtosis; absolute and relative measures; and classification of spread, skewness, and kurtosis measures, L-moment based measures, van Zwet ordering of kurtosis, and multivariate kurtosis. Several novel topics are discussed including the recursive algorithm for sample variance; simplification of complicated summation expressions; updating formulas for sample geometric, harmonic and weighted means; divide-and-conquer algorithms for sample variance and covariance; L-skewness; spectral kurtosis, etc. A large number of exercises are included in each chapter that are drawn from various engineering fields along with examples that are illustrated using the R programming language. Basic concepts are introduced before moving on to computational aspects. Some applicationsin bioinformatics, finance, metallurgy, pharmacokinetics (PK), solid mechanics, and signal processing are briefly discussed. Every analyst who works with numeric data will find the discussion very illuminating and easy to follow.​


Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live
Links are Interchangeable - Single Extraction
 

Users who are viewing this thread

Top