ISBN: 9780444634313 - computational statistics with r (volume 32) (handbook of statistics, volume 32, band 32) (10 Ergebnisse)

Cartonato. Zustand: fine. Oxford, 2014; hardback, cm 15,5x23. Libro.

Hardcover. Zustand: new. Hardcover. Handbook of Statistics, Vol 32 Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Zustand: New. Addresses data examples that can be downloaded directly from the R website No other source is needed to gain practical experience Focus on the essentials in graphical outlays Volume Editor: C.R. Raobook Anc.

Zustand: New. Series: Handbook of Statistics. Num Pages: 412 pages, illustrations. BIC Classification: PBT; UFM. Category: (P) Professional & Vocational. Dimension: 160 x 240 x 23. Weight in Grams: 802. . 2014. 1st Edition. hardcover. . . . .

Hardcover. Zustand: Brand New. 1st edition. 412 pages. 9.00x6.25x1.00 inches. In Stock.

Zustand: New. Series: Handbook of Statistics. Num Pages: 412 pages, illustrations. BIC Classification: PBT; UFM. Category: (P) Professional & Vocational. Dimension: 160 x 240 x 23. Weight in Grams: 802. . 2014. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.

Hardcover. Zustand: new. Hardcover. Handbook of Statistics, Vol 32 Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Zustand: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -R is open source statistical computing software. Since the R core group was formed in 1997, R has been extended by a very large number of packages with extensive documentation along with examples freely available on the internet. It offers a large number of statistical and numerical methods and graphical tools and visualization of extraordinarily high quality. R was recently ranked in 14th place by the Transparent Language Popularity Index and 6th as a scripting language, after PHP, Python, and Perl. The book is designed so that it can be used right away by novices while appealing to experienced users as well. Each article begins with a data example that can be downloaded directly from the R website. Data analysis questions are articulated following the presentation of the data. The necessary R commands are spelled out and executed and the output is presented and discussed. Other examples of data sets with a different flavor and different set of commands but following the theme of the article are presented as well. Each chapter predents a hands-on-experience. R has superb graphical outlays and the book brings out the essentials in this arena. The end user can benefit immensely by applying the graphics to enhance research findings. The core statistical methodologies such as regression, survival analysis, and discrete data are all covered. 412 pp. Englisch.…

Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - R is open source statistical computing software. Since the R core group was formed in 1997, R has been extended by a very large number of packages with extensive documentation along with examples freely available on the internet. It offers a large number of statistical and numerical methods and graphical tools and visualization of extraordinarily high quality. R was recently ranked in 14th place by the Transparent Language Popularity Index and 6th as a scripting language, after PHP, Python, and Perl. The book is designed so that it can be used right away by novices while appealing to experienced users as well. Each article begins with a data example that can be downloaded directly from the R website. Data analysis questions are articulated following the presentation of the data. The necessary R commands are spelled out and executed and the output is presented and discussed. Other examples of data sets with a different flavor and different set of commands but following the theme of the article are presented as well. Each chapter predents a hands-on-experience. R has superb graphical outlays and the book brings out the essentials in this arena. The end user can benefit immensely by applying the graphics to enhance research findings. The core statistical methodologies such as regression, survival analysis, and discrete data are all covered.…