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Measurement, Mathematics and New Quantification Theory
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Catalogue Information
Field name
Details
Dewey Class
519
Title
Measurement, Mathematics and New Quantification Theory (EBook /) / by Shizuhiko Nishisato.
Author
Nishisato, Shizuhiko
Other name(s)
SpringerLink (Online service)
Edition statement
1st ed. 2023.
Publication
Singapore : : Springer Nature Singapore : : Imprint: Springer, , 2023.
Physical Details
XIII, 208 p. 52 illus., 46 illus. in color. : online resource.
Series
Behaviormetrics: Quantitative Approaches to Human Behavior
2524-4035 ; ; 16
ISBN
9789819922956
Summary Note
The purpose of this book is to thoroughly prepare diverse areas of researchers in quantification theory. As is well known, quantification theory has attracted the attention of a countless number of researchers, some mathematically oriented and others not, but all of them are experts in their own disciplines. Quantifying non-quantitative (qualitative) data requires a variety of mathematical and statistical strategies, some of which are quite complicated. Unlike many books on quantification theory, the current book places more emphasis on preliminary requisites of mathematical tools than on details of quantification theory. As such, the book is primarily intended for readers whose specialty is outside mathematical sciences. The book was designed to offer non-mathematicians a variety of mathematical tools used in quantification theory in simple terms. Once all the preliminaries are fully discussed, quantification theory is then introduced in the last section as a simple application of those mathematical procedures fully discussed so far. The book opens up further frontiers of quantification theory as simple applications of basic mathematics.:
Contents note
Information for Analysis -- Data Analysis and Likert Scale -- Preliminaries -- Matrix Calculus -- Statistics in Matrix Notation -- Multidimensional Space.
Mode of acces to digital resource
Digital reproduction.-
Cham :
Springer International Publishing,
2023. -
Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site
https://doi.org/10.1007/978-981-99-2295-6
Links to Related Works
Subject References:
Applied Statistics
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Mathematical Statistics
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Psychometrics
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Statistical Theory and Methods
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Statistics
.
Statistics and Computing
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Authors:
author
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Nishisato, Shizuhiko
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Corporate Authors:
SpringerLink (Online service)
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Series:
Behaviormetrics: Quantitative Approaches to Human Behavior
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Classification:
519
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