Discriminant analysis is a statistical technique used to analyze and differentiate between groups or categories based on certain characteristics or variables. It helps identify the factors that contribute to the separation or distinction of one group from another.
Full definition
Michael Crichton's multiple -
discriminant analysis of Egyptian crania, carried out on an IBM 7090 computer at Harvard, was published in the Papers of the Peabody Museum in 1966
«Using more powerful tools — supervised learning — and
linear discriminant analysis did enable us to distinguish between the main categories of beer we studied: Schwarzbier, lager, double malt, Pilsen, Alsatian and low - alcohol,» Del Valle continues, «and with a success rate of 81.9 %.»
However, we have found PCA to be less robust than partial least
squares discriminant analysis (PLSDA) and random forest (RF) analysis in identifying diagnostically useful metabolites in independent clinical settings.
I also taught myself a fair bit of statistics along the way including logistic regressions and
discriminant analysis in order to backtest different models for identifying outperformers, dividend growth / cuts etc..
The aim of this study was to evaluate the clinical, radiographic and echocardiographic presence of CHF in dogs with MVD in combination
with discriminant analysis as a complementary tool to help with the identification of CHF in the groups evaluated.
Then, the variables weight, BSA, Ao, LA / Ao, MRA / LA, VC and RF PISA were selected and evaluated
by discriminant analysis (Ferreira, 2011).
Use of
discriminant analysis based on echocardiography for classification of congestive heart failure in dogs with myxomatous mitral valve disease.
As F - diameter was the most significant variable in each of the
previous discriminant analyses, the strength of this variable alone as a diagnostic tool was investigated further.
Statistical analyses of the two age groups included: Pearson's correlations to explore the relationships among variables, Cluster Analysis to create groups with different levels of aggression, and
finally discriminant analysis to determine which variables discriminate between groups.
Using
linear discriminant analysis, a statistical technique that separates different classes of objects he developed scatterplots that separate individual instruments by luthier.
Michael Crichton's multiple -
discriminant analysis of Egyptian crania, carried out on an IBM 7090 computer at Harvard, was published in the Papers of the Peabody Museum in 1966
Linear discriminant analysis, an exploratory data analysis pattern recognition technique, provides a way to distinguish forced from internal RASST variability when applied in an identical fashion to modeled and observed RASST fields (17).
Senn - Delaney then applied a statistical process that included frequency analysis, stepwise regression, and
discriminant analysis.
Additionally, we support and expand upon the hypothesis that X inactivation is primarily driven by gene loss on the Y. Using linear
discriminant analysis, we show that X-inactivation status can successfully classify 90 % of X-linked genes into those with functional or nonfunctional Y homologs.
We can also point out that, although in a limited way,
discriminant analysis is a promising parameter to help in the classification of CHF, being necessary improvement and further studies on the subject.
The discriminant analysis has been used in several studies in the field of human medical cardiology.
His multiple -
discriminant analysis of Egyptian crania, carried out on an IBM 7090 computer at Harvard, was published in the Papers of the Peabody Museum in 1966.
Topics Include Exploratory Data Analysis, Multiple Regression, Logistic Regression, Correlation, Multivariate Analysis Of Variance (manova), Factorial Analysis Of Variance (anova), Factor Analysis And Principal Components,
Discriminant Analysis, Structural Equation Modeling, And Emerging Data Analysis Techniques.
Internal consistencies, retest reliability,
discriminant analyses and ROC - analyses were computed.
The forth block consisted of a previously developed search filter for finding studies on measurement properties [42], including terms like: «Psychometrics», «Validation Studies», «Internal consistency», «
Discriminant analysis», «Factor analysis».
The discriminant analyses revealed that the procedure was effective at differentiating children displaying a clinical level of externalizing behavior from normally developing ones.
Discriminant analyses of PSS reported by multiple informants may ultimately provide greater clarity regarding how to utilize multiple reports.