Statistics Data Applied Approach by Cohen Yosef (16 results)

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Condition: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.…

Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Hardcover. Condition: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority.

Hardcover. Condition: sehr gut. Hardcover 4°. xviii, 599 pages. with figures and tables within the chapters. little rubbed. good cobndition. in englischer Sprache (in english).

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Condition: New. Provides a comprehensive practical guide to the broadly used statistical language of R assuming no previous knowledge of either statistics or R. A unique focus allows unprecedented coverage of the preparation of data for the application of statistical methods, and the presentation of the results, as well as the statistical applications themselves. Num Pages: 618 pages, Illustrations. BIC Classification: UFM. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 251 x 170 x 38. Weight in Grams: 1154. . 2008. 1st Edition. Hardcover. . . . .…

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Hardcover. Condition: Brand New. 1st edition. 618 pages. 9.76x6.85x1.50 inches. In Stock.

Condition: New. Provides a comprehensive practical guide to the broadly used statistical language of R assuming no previous knowledge of either statistics or R. A unique focus allows unprecedented coverage of the preparation of data for the application of statistical methods, and the presentation of the results, as well as the statistical applications themselves. Num Pages: 618 pages, Illustrations. BIC Classification: UFM. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 251 x 170 x 38. Weight in Grams: 1154. . 2008. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Buch. Condition: Neu. Neuware - R, an Open Source software, has become the de facto statistical computing environment. It has an excellent collection of data manipulation and graphics capabilities. It is extensible and comes with a large number of packages that allow statistical analysis at all levels - from simple to advanced - and in numerous fields including Medicine, Genetics, Biology, Environmental Sciences, Geology, Social Sciences and much more. The software is maintained and developed by academicians and professionals and as such, is continuously evolving and up to date. Statistics and Data with R presents an accessible guide to data manipulations, statistical analysis and graphics using R.Assuming no previous knowledge of statistics or R, the book includes:\* A comprehensive introduction to the R language.\* An integrated approach to importing and preparing data for analysis, exploring and analyzing the data, and presenting results.\* Over 300 examples, including detailed explanations of the R scripts used throughout.\* Over 100 moderately large data sets from disciplines ranging from Biology, Ecology and Environmental Science to Medicine, Law, Military and Social Sciences.\* A parallel discussion of analyses with the normal density, proportions (binomial), counts (Poisson) and bootstrap methods.\* Two extensive indexes that include references to every R function (and its arguments and packages used in the book and to every introduced concept.An accompanying Wiki website, turtle.gis.umn.edu includes all the scripts and data used in the book. The website also features a solutions manual, providing answers to all of the exercises presented in the book. Visitors are invited to download/upload data and scripts and share comments, suggestions and questions with other visitors. Students, researchers and practitioners will find this to be both a valuable learning resource in statistics and R and an excellent reference book.…