Agricultural Experimentation: Design and Analysis / Edition 1

Agricultural Experimentation: Design and Analysis / Edition 1

ISBN-10:
0471023523
ISBN-13:
9780471023524
Pub. Date:
01/16/1991
Publisher:
Wiley
ISBN-10:
0471023523
ISBN-13:
9780471023524
Pub. Date:
01/16/1991
Publisher:
Wiley
Agricultural Experimentation: Design and Analysis / Edition 1

Agricultural Experimentation: Design and Analysis / Edition 1

Paperback

$256.75
Current price is , Original price is $256.75. You
$256.75 
  • SHIP THIS ITEM
    In stock. Ships in 1-2 days.
  • PICK UP IN STORE

    Your local store may have stock of this item.

  • SHIP THIS ITEM

    Temporarily Out of Stock Online

    Please check back later for updated availability.


Overview

A simple, straightforward presentation of basic statistical methods and experimental designs with emphasis on how to compute essential statistics. Introduces principles of experimentation and explains common experimental designs; detailed, step-by-step procedures show the logic and reasoning behind each analysis. Includes sections on correlation and regression, analysis of counts, and mean separation, with especially thorough coverage of transformations and the analysis of variance.

Product Details

ISBN-13: 9780471023524
Publisher: Wiley
Publication date: 01/16/1991
Pages: 368
Product dimensions: 8.80(w) x 5.80(h) x 1.10(d)

About the Author

Thomas M. Little and F. Jackson Hills are the authors of Agricultural Experimentation: Design and Analysis, published by Wiley.

Table of Contents

Logic, Research, and Experiment.

Some Basic Concepts.

The Analysis of Variance and t Tests.

A Population of Mean Differences.

The Completely Randomized Design.

The Randomized Complete Block Design.

Mean Separation.

Latin Square Design.

The Split-Plot Design.

The Split-Split Plot.

The Split Block.

Subplots as Repeated Observations.

Transformations.

Linear Correlation and Regression.

Curvilinear Relations.

Shortcut Regression Methods for Equally Spaced Observations orTreatments.

Correlation and Regression for More Than Two Variables.

Analysis of Counts.

Improving Precision.

Planned Grouping of Experimental Units—Design.

Appendix.

Index.
From the B&N Reads Blog

Customer Reviews