Applications of Statistical Data Mining Methods

G. Fernandez, University of Nevada-Reno................................................................................. 1

Random Models with Direct and Competition Genetic Effects

L.D. Van Vleck, USDA-ARS

J.P. Cassady, North Carolina State University.......................................................................... 17       

A Comparison of Spatial Prediction Methods Using Intense Spatially-Acquired Water Quality Data

E.B. Moser, Louisiana State University

V.H. Rivera-Monroy, Louisiana State University

A.R. Alcantara-Eguren, Universidad Iberoamericana-Puebla.................................................... 31

Information Technologies and the Design and Analysis of Site-Specific Experiments within Commercial Cotton Fields

J.N. Jenkins, USDA-ARS

J.L. Willers, USDA-ARS

C. G. O'Hara, Mississippi State

G.A. Milliken, Kansas State University..................................................................................... 41       

Prediction of Yellow Starthistle Survival and Movement over Time and Space

F. Tian, University of Idaho

B. Shafii, University of Idaho

C.J. Williams, University of Idaho

T.S. Prather, University of Idaho

W.J. Price, University of Idaho

L.W. Lass, University of Idaho................................................................................................ 74

Genetic Mapping of Gene Expression Levels: Expression Level Polymorphism Analysis for Dissecting Regulatory Networks of Plant Disease Resistance

K. Kim, Purdue University

R.W. Doerge, Purdue University

M.A.L. West, University of California

D.A. St. Clair, University of California

R.W. Michelmore, University of California............................................................................. 97

The Onset, Cessation, and Rate of Growth of Loblolly Pines in the FACE Experiment

S. Aref, Virginia Tech

D. Moore, University of Illinois at Urbana-Champaign

E. DeLucia, University of Illinois at Urbana-Champaign.......................................................... 112

Automatic Model Selection in the Mixed Models Framework

M. Kramer, BCS/ARS/USDA.............................................................................................. 127

Statistical Analysis Software for Multiplicative Interaction Models

E-J. Lee, Advanced Micro Devices Inc.

D.E. Johnson, Kansas State University................................................................................... 141       

 Some Results on the Design of Experiments for Comparing Unreplicated Treatments

R.J. Martin, United Kingdom

J.A. Eccleston, University of Queensland (Australia)

N. Chauhan, Prosthetics Molecular Design Ltd (United Kingdom)

B.S.P. Chaun, ABN-Amro Bank, (China).............................................................................. 157

Introduction to Bayesian Quantitative Trait Locus Analysis for Polyploids

D. Cao, Purdue University

B.A. Craig, Purdue University

R.W. Doerge, Purdue University............................................................................................ 172

Statistical Analysis of 70-mer Oligonucleotide Microarray Data from Polyploid Experiments Using Repeated Dye-swaps

H. Jiang, Purdue University

J. Wang, Texas A&M University

L. Tian, Texas A&M University

Z.J. Chen, Texas A&M University

R.W. Doerge, Purdue University............................................................................................ 187

Estimating Rheological Properties of Yogurt Using Different Versions of the Freundlich Model and Design Matrices

M. Zhou, University of Nebraska at Lincoln

A.M. Parkhurst, University of Nebraska at Lincoln

H.K. Voss, University of Nebraska at Lincoln

C. L. Weller, University of Nebraska at Lincoln..................................................................... 199

Comparing Analyses of Unbalanced Split-plot Experiments

C. Smith, Kansas State University

D.E. Johnson, Kansas State University................................................................................... 212

Analyzing Binomial Data in a Split-Plot Design:  Classical Approaches or Modern Techniques?

L. Fang, Kansas State University

T. Loughin, Kansas State University....................................................................................... 225

Hotelling's T² Approximation for Bivariate Mixed (Dichotomous and Continuous) Data

I. Khamis, Southeast Missouri State University

P. Singh, Southeast Missouri State University

J. Higgins, Kansas State University......................................................................................... 241

Nonlinear Models with Repeated Measures for Analyzing Disease Progress in Plant Epidemiology

R. Macchiavelli, University of Puerto Rico

W. Robles, University of Puerto Rico

E. Abreu, University of Puerto Rico

A. Pantoja, University of Puerto Rico..................................................................................... 255

 An Example of Developing Covariates for Problems in Precision Agriculture

D. Meek, USDA-ARS-MWA NSTL

J.W. Singer, USDA-ARS-MWA-NSTL............................................................................... 270

Conditioning Plots and Designed Experiments

J.S. Pontius, Kansas State University

J.W. Slocombe, Kansas State University

J.E. Boyer, Jr., Kansas State University................................................................................. 279       

Identification of Errors in Cotton Fiber Data Sets Using Bayesian Networks

G.F. Sassenrath, USDA-ARS APTRU

J.E. Boggess, Mississippi State University

X. Bi, Mississippi State University

H.C. Pringle, Delta Research and Extension Center................................................................ 287

Distribution of Boll Number and Lint Yield by Time and Position in Upland Cotton Cultivators

J. Wu, Mississippi State University

J.N. Jenkins, USDA-ARS

J.C. McCarty, Jr., USDA-ARS............................................................................................. 296

A Comparison of Geostatistical and Spatial Autoregressive Approaches for Dealing with Spatially Correlated Residuals in Regression Analysis for Precision Agriculture Applications. 

I. Colonna, University of Illinois at Urbana

M. Ruffo, University of Illinois at Urbana
 

G. Bollero, University of Illinois at Urbana
 

D. Bullock, University of Illinois at Urbana............................................................................. 310