Instruction pratique sur l'analyse spectrale PDF Download
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Author: Louis Grandeau
Publisher:
ISBN:
Category : Chemical elements
Languages : fr
Pages : 102
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Book Description
Prospectus, or advertisement, for Grandeau's forthcoming work. Consists of the introduction and table of contents.
Author: Louis Grandeau
Publisher:
ISBN:
Category : Chemical elements
Languages : fr
Pages : 102
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Book Description
Prospectus, or advertisement, for Grandeau's forthcoming work. Consists of the introduction and table of contents.
Author: Louis Nicolas GRANDEAU
Publisher:
ISBN:
Category :
Languages : en
Pages : 98
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Book Description
Author: Louis Grandeau
Publisher:
ISBN:
Category :
Languages : fr
Pages : 80
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Book Description
Author: Grandeau (Louis Nicolas)
Publisher:
ISBN:
Category :
Languages : fr
Pages : 102
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Book Description
Author: Richard Grandeau
Publisher:
ISBN:
Category :
Languages : fr
Pages : 98
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Book Description
Author: M. Louis Grandeau
Publisher:
ISBN:
Category :
Languages : fr
Pages : 80
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Book Description
Author: Louis Grandeau
Publisher:
ISBN:
Category : Chemical elements
Languages : fr
Pages : 80
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Book Description
Author: Louis-Nicolas Grandeau
Publisher:
ISBN:
Category :
Languages : fr
Pages : 80
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Book Description
Author: Engineering Societies Library
Publisher:
ISBN:
Category : Classified catalogs (Universal decimal)
Languages : en
Pages : 896
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Book Description
Author: Michael J. Crawley
Publisher: John Wiley & Sons
ISBN: 9780470515068
Category : Mathematics
Languages : en
Pages : 953
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Book Description
The high-level language of R is recognized as one of the mostpowerful and flexible statistical software environments, and israpidly becoming the standard setting for quantitative analysis,statistics and graphics. R provides free access to unrivalledcoverage and cutting-edge applications, enabling the user to applynumerous statistical methods ranging from simple regression to timeseries or multivariate analysis. Building on the success of the author’s bestsellingStatistics: An Introduction using R, The R Book ispacked with worked examples, providing an all inclusive guide to R,ideal for novice and more accomplished users alike. The bookassumes no background in statistics or computing and introduces theadvantages of the R environment, detailing its applications in awide range of disciplines. Provides the first comprehensive reference manual for the Rlanguage, including practical guidance and full coverage of thegraphics facilities. Introduces all the statistical models covered by R, beginningwith simple classical tests such as chi-square and t-test. Proceeds to examine more advance methods, from regression andanalysis of variance, through to generalized linear models,generalized mixed models, time series, spatial statistics,multivariate statistics and much more. The R Book is aimed at undergraduates, postgraduates andprofessionals in science, engineering and medicine. It is alsoideal for students and professionals in statistics, economics,geography and the social sciences.
