Cantitate/Preț
Produs

Practical Statistics & Experimental Design for Plant & Crop Science

Autor AG Clewer
en Limba Engleză Paperback – 4 ian 2001
Practical Statistics and Experimental Design for Plant and Crop Science provides an introduction to the principles of plant and crop experimentation. Avoiding mathematical jargon, this text explains how to plan and design an experiment, analyse results, interpret computer output and present findings. Using specific crop and plant case studies this user-friendly guide presents:
  • The reasoning behind each statistical mathod before giving practical examples
  • Step-by-step calculations with examples linked to three computer packages (MINITAB, GENSTAT and SAS)
  • Exercises at the end of many chapters
  • Advice on presenting results and report writing
Written by experienced lecturers, this text will be invaluable to undergradaute and postgraduate students studying plant sciences, including plant and crop physiology, biotechnology, plant pathology and agronomy, plus ecology and environmental science students and those wanting a refresher or reference book in statistics.
Citește tot Restrânge

Preț: 42046 lei

Preț vechi: 60053 lei
-30% Nou

Puncte Express: 631

Preț estimativ în valută:
8050 8258$ 6778£

Carte indisponibilă temporar

Doresc să fiu notificat când acest titlu va fi disponibil:

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780471899099
ISBN-10: 0471899097
Pagini: 346
Ilustrații: bibliography
Dimensiuni: 168 x 244 x 19 mm
Greutate: 0.59 kg
Editura: Wiley
Locul publicării:Chichester, United Kingdom

Public țintă

Undergraduates and postgraduates studying agronomy, crop science and applied plant science plus researchers working in these areas in both academia and industry.

Notă biografică


Descriere

The only way to recommend new crop varieties, agrochemicals and husbandry systems is after they have been thoroughly tested in a series of replicated field trials. The trials, which are used to test these products or systems, need to be designed in such a way that the results obtained are reasonable and representative.