Regression analysis. A statistical technique that predicts a numerical value given characteristics of each member of a dataset. Association Rule Learning. Survival analysis is used to calculate the survival time/survival probability, comparison of the survival time between the groups (Kaplan-Meier method) as well as to identify the predictors of the survival time of the subjects/patients (Cox regression analysis). Receiver operating characteristics (ROC) curve is used to calculate area under. In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called the 'outcome' or 'response' variable) and one or more independent variables (often called 'predictors', 'covariates', 'explanatory variables' or 'features'). Regression Analysis and Flood-Frequency Equations 3 regression technique is a means of transferring flood-peak characteristics from sites where observed data are available to ungaged locations. The relation is presented by flood-frequency equations. The regression equations are used to relate the most. The complete analysis will be helpful to the manufacturer in deciding the shot peening parameters for desired performance characteristics. It helps the manufacturer to reduce the cost and improve its productivity. Keywords: AISI 304 austenitic stainless steel, ANOVA, Regression analysis and Shot peening.
Characteristics Of Regression Analysis
ABSTRACT
Degree of compaction (R %) value is an indicator in strength of earthwork construction. In the design of irrigation earthwork construction, degree of compaction value of compaction characteristics is often used, but laboratory test is time consuming and laborious. Fine aggregate classification and compaction characteristics are routinely determined for in-situ and borrow area (reservation area) soils used in the irrigation earthwork constructions. Developing regression based model to predict degree of compaction value of fine aggregates based on grain size analysis - percentage of Fine (F), Sand (S) and Gravel (G), Plasticity Characteristics Liquid Limit (LL) and Plastics Limit (PL), and Compaction Characteristics Maximum Dry Density (MDD) and Optimum Moisture Content (OMC). In the present study, degree of compaction value of fine aggregates is correlated with index and compaction characteristics. The regression analysis was performed with the result of laboratory test done from a large number of soil sample collected from different irrigation earthwork construction projects in theAmparadistrict (Eastern Province in Sri Lanka). The basic soil properties namely Soil classifications, Liquid Limit (LL), Plastics Limit (PL), Maximum Dry Density (MDD) and Optimum Moisture Content (OMC) are correlated, with the degree of compaction value. Proposed regression model validated from a few independent test data, reported in soil test reports of irrigation department in Ampara region and Eastern Provincial irrigation department in Ampara range, are found to be reasonably accurate.
Characteristics Of Regression
Key words: Degree of compaction value, Fine Aggregate, Compaction Characteristics, Plasticity Characteristics, Regression, Model.