4 edition of Statistics with vague data found in the catalog.
by D. Reidel, Sold and distributed in the U.S.A. and Canada by Kluwer Academic Publishers in Dordrecht, Boston, Norwell, MA, U.S.A
Written in English
|Statement||by Rudolf Kruse and Klaus Dieter Meyer.|
|Series||Theory and decision library.|
|Contributions||Meyer, Klaus Dieter, 1960-|
|LC Classifications||QA248 .K744 1987|
|The Physical Object|
|Pagination||vii, 279 p. :|
|Number of Pages||279|
|LC Control Number||87016449|
Norman Matloff has written a mathematical statistics textbook for computer science students that's free. Kind of a niche market, I suppose. For what it's worth, I haven't read it, but Matloff has a Ph.D. in mathematical statistics, works for a computer science department, and wrote a really good R book, that I recommend for people who want to go to the next stage of programming . Introduction to Statistics Introduction, examples and deﬁnitions Introduction We begin the module with some basic data analysis. Since Statistics involves the collection and interpretation of data, we must ﬁrst know how to understand, display and summarise large amounts of quantitative information, before undertaking a more sophisticated.
Klaus Dieter Meyer is the author of Statistics with Vague Data ( avg rating, 0 ratings, 0 reviews, published ). Statistics, the most crucial branch of data science, is often taught in a bottom-up, theory-first manner, which makes it extremely difficult for students to initially grasp the intricacies of many.
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The methods form the basis of a user-friendly software tool which supports the statistical inferenee in the presence of vague data. Parts of the manuscript have been used in courses for graduate level students of mathematics and eomputer scienees held by the first author at the Technical University of Braunschweig.
The textbook is designed for Cited by: Search within book. Front Matter. Pages i-vii. PDF. Introduction. Rudolf Kruse, Klaus Dieter Meyer. Pages Vague data. Rudolf Kruse, Klaus Dieter Meyer.
Pages On a software tool for statistics with vague data. Rudolf Kruse, Klaus Dieter Meyer. Pages Back Matter. Pages PDF. ISBN: OCLC Number: Description: vii, pages: illustrations ; 23 cm. Contents: 1 Introduction.- 2 Vague Data.- 3 Fuzzy Sets of the Real Line.- 4 Operations on Fuzzy Sets.- Set Theoretical Operations.- On Zadeh's Extension Principle.- Arithmetic Operations.- 5 Representation of Vague Data in a Digital Computer.- 6.
ISBN: OCLC Number: Description: 1 online resource ( pages) Contents: 1 Introduction.- 2 Vague Data.- 3 Fuzzy Sets of the Real Line.- 4 Operations on Fuzzy Sets.- Set Theoretical Operations.- On Zadeh's Extension Principle.- Arithmetic Operations.- 5 Representation of Vague Data in a Digital Computer.- 6.
1 Introduction.- 2 Vague Data.- 3 Fuzzy Sets of the Real Line.- 4 Operations on Fuzzy Sets.- Set Theoretical Operations.- On Zadeh's Extension Principle.- Arithmetic Operations.- 5 Representation of Vague Data in a Digital Computer.- 6 Topological Properties of Fuzzy Set Spaces.- 7 Random Sets and Fuzzy Random Variables.- 8 Descriptive Statistics with Vague Data.
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The methods form the basis of a user-friendly software tool which supports the statistical inferenee in the presence of vague data. Parts of the manuscript have been used in courses for graduate level students of mathematics and eomputer scienees held by the first author at the Technical University.
Statistics with vague data by Rudolf Kruse,D. Reidel, Sold and distributed in the U.S.A. and Canada by Kluwer Academic Publishers edition, in English. “The Visual Display of Quantitative Information” is one of his most famous data visualization books. The book covers the theory and design of data graphics and provides illustrations of best and worst examples.
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Figure is a sche - matic diagram of the chapter organization of this book, showing which chapters. ThriftBooks sells millions of used books at the lowest everyday prices. We personally assess every book's quality and offer rare, out-of-print treasures.
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Theory Followed By Relevant Formulae Is Fully Explicated Through Solved Numerical Problems. Mathematical Derivations And Proofs Of The Formulae Are Largely Absent. The Book Presupposes No Advance Knowledge Of Statistics Fully Covers The Syllabi Of Statistics /5(6).
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