Applied Statistics in Agriculture Conference

1997 Proceedings

Proceedings of the Conference on Applied Statistics in Agriculture

1997 Table of Contents

Page
1	Analysing Binary Data in a Repeated Measurements Settings Using SAS
	E.F. Allan
15	Using Prior Knowledge of the Intraclass Correlation to Increase the Power of Tests for Treatment Means
	M.E. Bond and J.J. Higgins
30	Confidence Intervals for Heritability in a Mixed Linear Model
	B.D. Burch and H.K. Iyer
41	Alternative Procedures for Estimation of Nonlinear Regression Parameters
	W.J. Price and B. Shafii
57	Empirical Estimates of Power for Binomial Data with Mixed Models
	R.K. Splan, L.D. Van Vleck and H.D. Hafs
65	Analysis of Midwest Farmer Survey of Pest Infestation
	S. Aref
80	Comparing the Use of Block and Covariate Information in Analysis of Variance
	J.R. Schwenke
95	Covariance Adjustment in Studies Involving Observational Factors or Covariates Influenced by Treatments
	O.B. Allen, I.B. Mandell, J.W. Wilton and J.B. Buchanan- Smith
104	Equivalence Testing in Agriculture Experiments
	B.J. Fergen
118	Bioavailability and CV Component Comparison in a Crossover
	Z. Wang and V.A. Uthoff
129	Alternative Analyses of Crossover Designs with More than Two Periods
	C.L. Goad and D.E. Johnson
159	How Good Are Spatial GLM’s? A Simulation Study.
	R.G. Collins, W.W. Stroup and S.D. Kachman
173	Some Factors Limiting the Use of Generalized Linear Models in Agricultural Research
	W.W. Stroup
179	Some Experiences with Neural Networks
	L.L. Ballou and D.E. Johnson
191	Bootstrap Confidence Intervals from Adaptive Sampling of an Insect Population
	J.S. Pontius and M.C. Christman
204	The Use of Inverse Theory on all Ill-Posed Environmental Composite Sampling Problem
	V.A. Lancaster and S. Keller-McNulty
218	The Analysis of Two-Period Repeated Measurements Crossover Design with Application to a Forestry Problem
	A. Garsd, M.C. Fabrizio and M.V. López
231	The Statistical Analysis of Active Control Equivalence Studies
	A. Garsd and S.F. Delfino
238	Testing Variance Components in the GLM and MIXED Procedures of SAS
	R. McNew and A. Mauromoustakos
245	Using Ranks to Perform Exact and Estimated Exact Tests in Designed Experiments
	S.J. Richter and M.E. Payton