Statistical Methods in Agriculture and Experimental Biology

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A01=Roger Mead
advanced statistical techniques for biology
agricultural statistics
Author_Roger Mead
Block
Category=PBT
Category=PS
Comparing Treatment Means
Confidence
Confidence Interval
Cowpea Yield
Data Set
Design
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eq_nobargain
eq_non-fiction
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Error MS
experimental design methods
Experimental Units
Generalized Linear Models
Hypothesis
Incomplete Block Designs
Interval
Latin Square Design
Latin Squares
LER Value
Main Plot Treatments
Means
mixed cropping experiments
multivariate analysis
Null Hypothesis
principal component analysis
Randomized
Randomized Block Design
Randomized Block Experiment
Regression SS
Sorbic Acid
Split Plot Analysis
Split Plot Design
Split Plot Experiment
Split Plot Factor
Split Plot Treatments
Treatment
Treatment Means
Treatment SS
Unit
variance components
Vice Versa

Product details

  • ISBN 9781138469808
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 11 Sep 2017
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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The third edition of this popular introductory text maintains the character that won worldwide respect for its predecessors but features a number of enhancements that broaden its scope, increase its utility, and bring the treatment thoroughly up to date. It provides complete coverage of the statistical ideas and methods essential to students in agriculture or experimental biology. In addition to covering fundamental methodology, this treatment also includes more advanced topics that the authors believe help develop an appreciation of the breadth of statistical methodology now available. The emphasis is not on mathematical detail, but on ensuring students understand why and when various methods should be used.


New in the Third Edition:

  • A chapter on the two simplest yet most important methods of multivariate analysis
  • Increased emphasis on modern computer applications
  • Discussions on a wider range of data types and the graphical display of data
  • Analysis of mixed cropping experiments and on-farm experiments
  • More from this author