Statistical Methodology Commons^™

Design And Statistical Analysis Of Plant Protection Experiment, J F. Wallace

All other publications

An Australian co-operation with the national agricultural research project Thailand.

This short course is intended to cover aspects of experimental design, sampling and statistical analysis for researchers in Entomology and Plant Pathology.

The basic principles of experimental design are the same for plant protection research as they are in other areas of research. Problems in plant protection arise from the variation of the data, the complexity of the systems and interactions with environmental factors. In many cases, standard designs are quite adequate.

A Sequential Testing System For Health Services Research And Testing, Matthew B. Barkley

MUSC Theses and Dissertations

Use of the Sequential Probability Ratio Test (SPRT) can save an experimenter's time, material, and money. Written for the Wang 600 Programmable Calculator, the Sequential Testing System performs the SPRT for any of seven common one-sample tests, greatly facilitating the use of this long-neglected clinical tool.

Objective Measurement Of Wool : Criteria, Methods And Materials, A Ingleton

Journal of the Department of Agriculture, Western Australia, Series 4

An outline of some of the technical aspects of the objective measurement of wool—processes that will mean major cost savings to the wool industry.

A Simple Method For The Construction Of Empirical Confidence Limits For Economic Forecasts, William (Bill) H. Williams, M. L. Goodman

Publications and Research

A simple method for the construction of empirical confidence intervals for time series forecasts is described. The procedure is to go through the series making a forecast from each point in time. The comparison of these forecasts with the known actual observations will yield an empirical distribution of forecasting errors. This distribution can then be used to set confidence intervals for subsequent forecasts. The technique appears to be particularly useful when the mechanism generating the series cannot be fully identified from the available data or when limits based on more standard considerations are difficult to obtain.

Simulating Regional Interindustry Models For Western States, William A. Schaffer, Kong Chu

Applications

Although regional input-output models are now most frequently constructed on the basis of reasonably adequate surveys, simulation (estimating) techniques not based on original survey data are still in use by many regional scientists for quick and less costly results. We will modify our original aggregation procedures, examine our results through several statistical tests of tables constructed for three Western states, and discuss a possible correction procedure for improving raw estimates of interindustry transactions.

Simulation Of Mathematical Models In Genetic Analysis, Dinesh Govindal Patel

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

In recent years a new field of statistics has become of importance in many branches of experimental science. This is the Monte Carlo Method, so called because it is based on simulation of stochastic processes. By stochastic process, it is meant some possible physical process in the real world that has some random or stochastic element in its structure. This is the subject which may appropriately be called the dynamic part of statistics or the statistics of "change," in contrast with the static statistical problems which have so far been the more systematically studied. Many obvious examples of such processes …