Sea Fundamentals of Exploratory Analysis of Variance PDF Download
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Author: Hoaglin
Publisher:
ISBN: 9780471121305
Category :
Languages : en
Pages : 448
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Book Description
Author: Hoaglin
Publisher:
ISBN: 9780471121305
Category :
Languages : en
Pages : 448
Get Book Here
Book Description
Author: David C. Hoaglin
Publisher: John Wiley & Sons
ISBN: 0470317663
Category : Mathematics
Languages : en
Pages : 448
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Book Description
The analysis of variance is presented as an exploratory component of data analysis, while retaining the customary least squares fitting methods. Balanced data layouts are used to reveal key ideas and techniques for exploration. The approach emphasizes both the individual observations and the separate parts that the analysis produces. Most chapters include exercises and the appendices give selected percentage points of the Gaussian, t, F chi-squared and studentized range distributions.
Author: Charles R. Hicks
Publisher:
ISBN:
Category :
Languages : en
Pages : 40
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Book Description
Author: Vera Jatenco-Pereira
Publisher:
ISBN:
Category : Solar-terrestrial physics
Languages : en
Pages : 290
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Book Description
Author:
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 788
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Book Description
The Current Index to Statistics (CIS) is a bibliographic index of publications in statistics, probability, and related fields.
Author:
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 1716
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Book Description
Author: Michael H. Kutner
Publisher: McGraw-Hill/Irwin
ISBN: 9780072386882
Category : Mathematics
Languages : en
Pages : 1396
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Book Description
Linear regression with one predictor variable; Inferences in regression and correlation analysis; Diagnosticis and remedial measures; Simultaneous inferences and other topics in regression analysis; Matrix approach to simple linear regression analysis; Multiple linear regression; Nonlinear regression; Design and analysis of single-factor studies; Multi-factor studies; Specialized study designs.
Author: L.V. Jones
Publisher: CRC Press
ISBN: 9780412742507
Category : Mathematics
Languages : en
Pages : 650
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Book Description
Author: Brian Everitt
Publisher: Springer Science & Business Media
ISBN: 1441996508
Category : Mathematics
Languages : en
Pages : 284
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Book Description
The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of other things. In a few cases, it may be sensible to isolate each variable and study it separately, but in most instances all the variables need to be examined simultaneously in order to fully grasp the structure and key features of the data. For this purpose, one or another method of multivariate analysis might be helpful, and it is with such methods that this book is largely concerned. Multivariate analysis includes methods both for describing and exploring such data and for making formal inferences about them. The aim of all the techniques is, in general sense, to display or extract the signal in the data in the presence of noise and to find out what the data show us in the midst of their apparent chaos. An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as much information as possible from the data at hand, particularly as some type of graphical representation, via the R software. Throughout the book, the authors give many examples of R code used to apply the multivariate techniques to multivariate data.
Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 1370
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Book Description
Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.
