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factor analysis fa explains variability among observed random variables in terms of fewer unobserved random variables called factors the observed
in pca the eigknvalues must ultimately account for all of the variance there is no probabilityno hypothesis no test because strictly speaking pca is
henry kaiser suggested a rule for selecting a number of components m less than the number needed for perfect reconstruction set m equal to the number
while there are p original variables the number of principal components is m such that m lt p it may happen that m principal components will
pca is a linear transformation that transforms the data to a new coordinate system such that the greatest variance by any projection of the data
the pca is amongst the oldest of the multivariate statistical methods of data reduction it is a technique for simplifying a dataset by reducing
as one of the oldest multivariate statistical methods of data reduction principal component analysis pcasimplifies a dataset by producing
in the context of multivariate data analysis one might be faced with a large number of vampiables that are correlated with each other eventually
correspondence analysis is an exploratory technique used to analyze simple two-way and multi-way tables containing measures of correspondence
canonical correlation analysis cc allows the investigation of the relationship between two sets of variables for example a sociologist may want to
confirmatory factor analysis cfa seeks to determine whether the number of factors and the loadings of measured indicator variables on them conform to
discriminant analysis da helps to determine which variables discriminate between two or more naturally occurring groups mathematically equivalent to
multivariate analysis of variance manova is a technique to assess group differences across multiple metric dependent variables simultaneously based
in reduced rank regression rrr the dependent variables are first submitted to a pca and the scores of the units are then used as
these techniques are applied when the rows and the columns of the data table represent the same units and when the measure is a disiance or a
correspondence analysis ca is a generalization of pca to contingency tables the factors of correspondence analysis give an orthogonal decomposiion of
multivariate analysis involves a set of techniques to analyse data sets on more than one variable many of these techniques are modern and often
to use linear programming for solving the following inequalities following twin conditions as mandated by the indian regulatory
acompute descriptive statistics for each stock and the sampp 500 comment on your results which stocks are most
i am new to stata and i am trying to figure out how to calculate expected growth of sales tax revenue as well as average growth rate of sales tax
there are 15 types of ice cream abcdefghijklmn and o how many combinations are there to sample 5 flavors if you sample 1 flavor 4 times how many
the following data on calcium content of wheat are consistent with summary quantities that appeared in the article mineral contents of cereal grains
a monopolist firm3939s demand curve is given by p100-2q a find its marginal revenue
there were three types of food and the researcher recorded which foods were bought peanut butter banana
the prevalence of undetected diabetes in a population to be screened is approximately 15 and it is assumed that 10000 persons will be screened the