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Basic concepts of data and error ana...

Kaloyerou, Panayiotis Nicos.

Basic concepts of data and error analysiswith introductions to probability and statistics and to computer methods /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Basic concepts of data and error analysisby Panayiotis Nicos Kaloyerou.
Reminder of title:	with introductions to probability and statistics and to computer methods /
Author:	Kaloyerou, Panayiotis Nicos.
Published:	Cham :Springer International Publishing :2018.
Description:	xx, 259 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Error analysis (Mathematics)
Online resource:	https://doi.org/10.1007/978-3-319-95876-7
ISBN:	9783319958767$q(electronic bk.)

Basic concepts of data and error analysiswith introductions to probability and statistics and to computer methods /
Kaloyerou, Panayiotis Nicos.

Basic concepts of data and error analysiswith introductions to probability and statistics and to computer methods /[electronic resource] :by Panayiotis Nicos Kaloyerou. - Cham :Springer International Publishing :2018. - xx, 259 p. :ill. (some col.), digital ;24 cm.

Units of Measurement -- Scientific Calculations, Significant Figures and Graphs -- Error Analysis -- The Method of Least Squares -- Theoretical Background - Probability and Statistics -- Use of Computers -- A: Bibliography -- B: Tables -- C: Some Mathematical Formulae and Relations -- D: Some Biographies -- E: Solutions.

This introductory textbook explains the concepts and methods of data and error analysis needed for laboratory experiment write-ups, especially physics and engineering experiments. The book contains the material needed for beginning students, e.g., first year university students, college students (enrolled on a certificate or diploma course) and even A-level students. Nevertheless, it also covers the required material for higher year university laboratories, including the final year. Only essential concepts and methods needed for the day-to-day performance of experiments and their subsequent analysis and presentation are included and, at the same time, presented as simply as possible. Non-essential detail is avoided. Chapter five is a stand-alone introduction to probability and statistics aimed at providing a theoretical background to the data and error analysis chapters one to four. Computer methods are introduced in Chapter six. The author hopes this book will serve as a constant reference.

ISBN: 9783319958767$q(electronic bk.)

Standard No.: 10.1007/978-3-319-95876-7doiSubjects--Topical Terms:

182680
Error analysis (Mathematics)

LC Class. No.: QA275 / .K356 2018

Dewey Class. No.: 511.43

Basic concepts of data and error analysiswith introductions to probability and statistics and to computer methods /
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245 1 0 $a Basic concepts of data and error analysis $h [electronic resource] : $b with introductions to probability and statistics and to computer methods / $c by Panayiotis Nicos Kaloyerou.
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300 $a xx, 259 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Units of Measurement -- Scientific Calculations, Significant Figures and Graphs -- Error Analysis -- The Method of Least Squares -- Theoretical Background - Probability and Statistics -- Use of Computers -- A: Bibliography -- B: Tables -- C: Some Mathematical Formulae and Relations -- D: Some Biographies -- E: Solutions.
520 $a This introductory textbook explains the concepts and methods of data and error analysis needed for laboratory experiment write-ups, especially physics and engineering experiments. The book contains the material needed for beginning students, e.g., first year university students, college students (enrolled on a certificate or diploma course) and even A-level students. Nevertheless, it also covers the required material for higher year university laboratories, including the final year. Only essential concepts and methods needed for the day-to-day performance of experiments and their subsequent analysis and presentation are included and, at the same time, presented as simply as possible. Non-essential detail is avoided. Chapter five is a stand-alone introduction to probability and statistics aimed at providing a theoretical background to the data and error analysis chapters one to four. Computer methods are introduced in Chapter six. The author hopes this book will serve as a constant reference.
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