საქართველოს ტექნიკური უნივერსიტეტის ნიკო მუსხელიშვილის სახელობის საუნივერსიტეტო ბიბლიოთეკა

Niko Muskhelishvili University Library of Georgian Technical University

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Native statistics for natural sciences / editor, Nabil Semmar, University of Tunis El Manar, Tunis, Tunisia.

Contributor(s): Material type: TextTextLanguage: English Publication details: N.Y. : "NOVA", 2013.Description: xviii, 515 pages : illustrations ; 26 cmISBN:
  • 9781624179563 (hardcover)
Subject(s): DDC classification:
  • 570.1/5195 23
LOC classification:
  • QH313 .N376 2013
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.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
წიგნები / Books წიგნები / Books ცენტრალური ბიბლიოთეკა / Central library ტექნიკური დარ. / Techn. hall 519.22 / 9 (Browse shelf(Opens below)) K - 13556 Available 2016-1085

Price .100 L.

Includes bibliographical references (pages 497-507) and index.

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.

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