Posted by **AlexGolova** at Jan. 19, 2021

English | May 27, 2014 | ISBN: 1118634535 | 648 pages | AZW3 | 4.05 MB

Posted by **DZ123** at May 22, 2018

English | 2013 | ISBN: 1461484553 | PDF | pages: 305 | 4.3 mb

Posted by **AvaxGenius** at Feb. 1, 2024

English | PDF | 2001 | 189 Pages | ISBN : 3764365757 | 18.3 MB

Statistics is strongly tied to applications in different scientific disciplines, and the most challenging statistical problems arise from problems in the sciences. In fact, the most innovative statistical research flows from the needs of applications in diverse settings. This volume is a testimony to the crucial role that statistics plays in scientific disciplines such as genetics and environmental sciences, among others. The articles in this volume range from human and agricultural genetic DNA research to carcinogens and chemical concentrations in the environment and to space debris and atmospheric chemistry. Also included are some articles on statistical methods which are sufficiently general and flexible to be applied to many practical situations.

Posted by **AvaxGenius** at Nov. 19, 2019

English | PDF(Repost),EPUB | 2013 | 305 Pages | ISBN : 1461484553 | 4.93 MB

This book describes EnvStats, a new comprehensive R package for environmental statistics and the successor to the S-PLUS module EnvironmentalStats for S-PLUS (first released in 1997). EnvStats and R provide an open-source set of powerful functions for performing graphical and statistical analyses of environmental data, bringing major environmental statistical methods found in the literature and regulatory guidance documents into one statistical package, along with an extensive hypertext help system that explains what these methods do, how to use these methods, and where to find them in the environmental statistics literature. EnvStats also includes numerous built-in data sets from regulatory guidance documents and the environmental statistics literature.

Posted by **ksveta6** at Oct. 1, 2020

2020 | ISBN: 1498711480 | English | 426 pages | PDF | 10 MB

Posted by **IrGens** at Oct. 22, 2021

English | September 30, 2021 | ISBN: 0192843478, 0192843486 | PDF | 320 pages | 16.65 MB

Posted by **AvaxGenius** at Dec. 29, 2020

English | EPUB | 2016 | 267 Pages | ISBN : 3319400568 | 8.6 MB

This book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical environmental science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you.

Posted by **AvaxGenius** at Aug. 9, 2020

English | PDF | 1997 | 325 Pages | ISBN : 3764372303 | 26.47 MB

The statistical analysis of extreme data is important for various disciplines, including hydrology, insurance, finance, engineering and environmental sciences. This book provides a self-contained introduction to the parametric modeling, exploratory analysis and statistical interference for extreme values.

Posted by **AvaxGenius** at Feb. 23, 2024

English | PDF EPUB (True) | 2024 | 138 Pages | ISBN : 3031546075 | 18.4 MB

This book presents machine learning approaches to identify the most important predictors of crucial variables for dealing with the challenges of managing production units and designing agriculture policies. The book focuses on the agricultural sector in the European Union and considers statistical information from the Farm Accountancy Data Network (FADN).

Posted by **Sigha** at June 30, 2023

Last updated 10/2022

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz

Language: English (US) | Size: 2.88 GB | Duration: 9h 48m

Your Complete Guide to Statistical Data Analysis and Visualization For Practical Applications in R