Biostatistical design analysis using (28 Ergebnisse)

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Paperback. Zustand: Fair. First book specifically aimed at biologists/ecologists thatexplains how the new freeware statistical package R can be applied to their problems. This software package is becoming increasingly popular as it ispowerful and free.

Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

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Paperback. Zustand: new. Paperback. R the statistical and graphical environment is rapidly emerging as an important set of teaching and research tools for biologists. This book draws upon the popularity and free availability of R to couple the theory and practice of biostatistics into a single treatment, so as to provide a textbook for biologists learning statistics, R, or both. An abridged description of biostatistical principles and analysis sequence keys are combined together with worked examples of the practical use of R into a complete practical guide to designing and analyzing real biological research. Topics covered include: simple hypothesis testing, graphingexploratory data analysis and graphical summariesregression (linear, multi and non-linear)simple and complex ANOVA and ANCOVA designs (including nested, factorial, blocking, spit-plot and repeated measures)frequency analysis and generalized linear models. Linear mixed effects modeling is also incorporated extensively throughout as an alternative to traditional modeling techniques. The book is accompanied by a companion website with an extensive set of resources comprising all R scripts and data sets used in the book, additional worked examples, the biology package, and other instructional materials and links. First book specifically aimed at biologists/ecologists thatexplains how the new freeware statistical package R can be applied to their problems. This software package is becoming increasingly popular as it ispowerful and free. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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N.A. Zustand: New. ISBN:9788126550708.

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Zustand: New. In English.

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Zustand: New. pp. 576 Figures.

Zustand: New. 2010. 1st Edition. Paperback. First book specifically aimed at biologists/ecologists thatexplains how the new freeware statistical package R can be applied to their problems. This software package is becoming increasingly popular as it ispowerful and free. Num Pages: 576 pages, black & white tables, figures. BIC Classification: PSAF. Category: (P) Professional & Vocational. Dimension: 247 x 172 x 33. Weight in Grams: 1002. . . . . . …

Zustand: New.

Zustand: New. pp. 576.

Zustand: New. 2010. 1st Edition. Paperback. First book specifically aimed at biologists/ecologists thatexplains how the new freeware statistical package R can be applied to their problems. This software package is becoming increasingly popular as it ispowerful and free. Num Pages: 576 pages, black & white tables, figures. BIC Classification: PSAF. Category: (P) Professional & Vocational. Dimension: 247 x 172 x 33. Weight in Grams: 1002. . . . . . Books ship from the US and Ireland. …

Paperback. Zustand: new. Paperback. R the statistical and graphical environment is rapidly emerging as an important set of teaching and research tools for biologists. This book draws upon the popularity and free availability of R to couple the theory and practice of biostatistics into a single treatment, so as to provide a textbook for biologists learning statistics, R, or both. An abridged description of biostatistical principles and analysis sequence keys are combined together with worked examples of the practical use of R into a complete practical guide to designing and analyzing real biological research. Topics covered include: simple hypothesis testing, graphingexploratory data analysis and graphical summariesregression (linear, multi and non-linear)simple and complex ANOVA and ANCOVA designs (including nested, factorial, blocking, spit-plot and repeated measures)frequency analysis and generalized linear models. Linear mixed effects modeling is also incorporated extensively throughout as an alternative to traditional modeling techniques. The book is accompanied by a companion website with an extensive set of resources comprising all R scripts and data sets used in the book, additional worked examples, the biology package, and other instructional materials and links. First book specifically aimed at biologists/ecologists thatexplains how the new freeware statistical package R can be applied to their problems. This software package is becoming increasingly popular as it ispowerful and free. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Zustand: New. If you want to do more than just the basics then Biostatistical Design and Analysis using Ris an excellent guide, helping you climb the steep learning curve. (British Ecological Society Bulletin, 1 March 2012) Overall, this is an excellent reference for b.

Paperback. Zustand: Brand New. 1st edition. 576 pages. 9.69x6.61x1.26 inches. In Stock.

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Paperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Paperback. Zustand: Brand New. 1st edition. 576 pages. 9.69x6.61x1.26 inches. In Stock. This item is printed on demand.

Paperback. Zustand: new. Paperback. R the statistical and graphical environment is rapidly emerging as an important set of teaching and research tools for biologists. This book draws upon the popularity and free availability of R to couple the theory and practice of biostatistics into a single treatment, so as to provide a textbook for biologists learning statistics, R, or both. An abridged description of biostatistical principles and analysis sequence keys are combined together with worked examples of the practical use of R into a complete practical guide to designing and analyzing real biological research. Topics covered include: simple hypothesis testing, graphingexploratory data analysis and graphical summariesregression (linear, multi and non-linear)simple and complex ANOVA and ANCOVA designs (including nested, factorial, blocking, spit-plot and repeated measures)frequency analysis and generalized linear models. Linear mixed effects modeling is also incorporated extensively throughout as an alternative to traditional modeling techniques. The book is accompanied by a companion website with an extensive set of resources comprising all R scripts and data sets used in the book, additional worked examples, the biology package, and other instructional materials and links. First book specifically aimed at biologists/ecologists thatexplains how the new freeware statistical package R can be applied to their problems. This software package is becoming increasingly popular as it ispowerful and free. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…