Cover of: Good Statistical Practice for Natural Resources Research (Cabi Publishing) | Read Online
Share

Good Statistical Practice for Natural Resources Research (Cabi Publishing)

  • 133 Want to read
  • ·
  • 41 Currently reading

Published by CABI .
Written in English

Subjects:

  • Agricultural science,
  • Environmental Science,
  • Management of land & natural resources,
  • Science,
  • Environmental Studies,
  • Science/Mathematics,
  • Science / Ecology,
  • Life Sciences - Ecology,
  • Management,
  • Natural Resources,
  • Research,
  • Statistical methods

Book details:

Edition Notes

ContributionsRoger D. Stern (Editor), Richard Coe (Editor), Eleanor F. Allan (Editor), Ian C. Dale (Editor)
The Physical Object
FormatPaperback
Number of Pages408
ID Numbers
Open LibraryOL11600920M
ISBN 100851997228
ISBN 109780851997223

Download Good Statistical Practice for Natural Resources Research (Cabi Publishing)

PDF EPUB FB2 MOBI RTF

Buy Good Statistical Practice for Natural Resources Research (): NHBS - Edited By: RD Stern, R Coe, EF Allan and IC Dale, CABI Publishing. Get this from a library! Good statistical practice for natural resources research. [R D Stern;] -- This book provides a practical guide to using statistics in natural resources research. It discusses both biophysical and socioeconomic aspects of research and may help bring them together, as is. This book provides a practical approach to applying statistics to a wide variety of studies or projects. It will help bring together the biophysical and socioeconomic aspects, that are increasingly seen as integral to successful natural resources management. The topics covered include types of study in NRM, planning, data management and analysis. This book provides a practical guide to using statistics in natural resources research. It discusses both biophysical and socioeconomic aspects of research and may help bring them together, as is necessary for successful natural resource management (NRM). The topics covered include the types of study in NRM, research planning, data management, and modern methods of data by:

This book provides a practical guide to using statistics in natural resources research. It discusses both biophysical and socioeconomic aspects of research and may help bring them together, as is necessary for successful natural resource management (NRM).Cited by: Duplicate ISBN to Use of statistical software Live Archive, Mrs Alison Sutton, sws97ams - [ Manage ] [ Compare & Merge ] [ Acknowledge ]. Read online, or download in secure EPUB Title: Good Statistical Practice for Natural Resources Research Author: R.D. Stern THE BOOK CAN BE DELETED by THE OWNER in THIS CASE (the chapters can be empty) CLICK to Download Good Statistical Practice for Natural Resources Research by R.D. Stern (The FULL VERSION) FROM SECURE SERVER. Statistical Methods is a good, cursory look, good for a general idea, but it is not going to be THE ONE book that will help you finish your final project or use SPSS/PSPP successfully. Bottom Cited by:

the set of good practices is not formally part of the Recommendation, it remains under the auspices of the CSSP, allowing flexibility for future amendments. Users and Uses of the Recommendation. The rationale for proposing a Recommendation of the OECD Council on Good Statistical Practice is File Size: KB. IFSA GLO Good Practices: Natural Resources Management 3 Title of Best Practice: Opportunities through Agroforestry for Sustainable Development in Haryana, India 1 Country: Haryana, India Authors: V.P. Singh 2 and P.P. Bhojvaid 3 Category of Practice: Agroforestry Context and Genesis. The book is an excellent general statistics text, with the key advantage of using SPSS to illustrate the concepts. The book would be a good text for undergraduate students on a range of social science courses or postgraduate students taking Foundation Research Methods. Steve Strand University of Warwick, British Journal of Educational Psychology. R.D. Stern, R. Coe, E.F. Allan and I.C. Dale, Editors, Good Statistical Practice for Natural Resources Research, CABI, Wallingford, UK () ISBN , p.