Native statistics for natural sciences / Nabil Semmar.

Format:

Book

Author/Creator:

Semmar, Nabil.

Series:

Mathematics research developments

Language:

English

Subjects (All):

Biological systems--Statistical methods.

Biological systems.

System theory.

Physical Description:

1 online resource (535 p.)

Place of Publication:

Hauppauge, NY : Nova Science Publishers, 2013.

Language Note:

English

Summary:

This is a book which presents several step-by-step complementary and chained statistical tools. These tools are applied to analyze structures and variability of natural systems helping to gradually understand and control their complexity. The book is organized into a series of chapters which are extensively illustrated by intuitive figures and simple numerical examples.Statistics represent a large field of applied mathematics aiming to extract and analyze information from sampled data issued from complex systems or populations. Extraction of reliable information on systems requires "a priori" of the application of strategic rules by which intrinsic variability and extrinsic limits are considered. Such strategic rules are given by sampling designs and experimental designs which are applied for open and close systems, respectively. Sampling designs presented in this book include simple random, systematic and stratified designs which are applied to estimate and control variability in open systems having different organizations or distributions. Moreover, sampling designs are appropriate tools for later biodiversity and spatiotemporal analysis of natural systems. Experimental designs include factorial, response surface and mixture designs which are specifically applied to control systems defined by different geometrical structures. Such geometrical structures have different dimensions defined by strategic values of experimental factors which could have potential effects on the studied system.

Contents:

Global classification of statistical methods, parameters and aims

Introduction to statistical inference and population description

Punctual estimation of population characteristics using numerical and graphical parameters from sample

Estimation of population parameters by confidence intervals

Graphical representations of statistical variables

Different probability laws describing variability of statistical populations

Parametric hypothesis tests to statistical comparisons between two values

Parametric comparison between several means: analysis of variance

Nonparametric comparison tests applied to two samples

Link analysis between two or more variables

Sampling designs

Spatial pattern analysis

Biodiversity quantification methods

Experimental designs.

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

Description based on print version record.

ISBN:

1-62808-085-X