JSM 2005 Online Program

Abstract #303694

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

To View the Program:
You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.

The Program has labeled the meeting rooms with "letters" preceding the name of the room, designating in which facility the room is located:

Minneapolis Convention Center = “MCC” Hilton Minneapolis Hotel = “H” Hyatt Regency Minneapolis = “HY”

Back to main JSM 2005 Program page

Legend:

= Applied Session,

= Theme Session,

= Presenter

Activity Number:	330
Type:	Contributed
Date/Time:	Tuesday, August 9, 2005 : 2:00 PM to 3:50 PM
Sponsor:	Section on Statistical Computing
Abstract - #303694
Title:	A Method for Analyzing Unreplicated Agricultural Experiments
Author(s):	Jamis Perrett*+
Companies:	University of Northern Colorado
Address:	2712 West 26th Street, Greeley, CO, 80634, United States
Keywords:	Intraclass Correlation Coefficient ; Unreplicated Experiments ; RIA Analysis
Abstract:	A researcher would like to test the effectiveness of four treatments in controlling two-spotted spider mites (TSM) in commercial greenhouses. Four greenhouses were used for the study. Within each greenhouse, eight potted plants were inoculated with TSM. One of the four treatments was applied to all the pots in each of the four greenhouses. At the end of the treatment period, the number of TSM was counted on each of the potted plants in each of the greenhouses. The unit of analysis for this study is greenhouse. This study is unreplicated. Plugging the maximum reasonable value of the intraclass correlation coefficient (ICC) into analysis equations, an appropriate analysis of this study is conducted. This method maintains the Type-1 error rate. This study demonstrates the use of the Rho Information Analysis (RIA) in analyzing unreplicated experiments.

The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2005 program