Data analysis - quantitative research - Sydney

Quant Research LtD
httpsquant-research-cooperation.com/

Quant Research d.o.o. is a global company that provides methodological supervision, analysis, research implementation, and data processing services in market research (marketing research), banking (banking, digital industry), medical, social, technical, natural science... study, and supervision. Our team consists of collaborators from the most prestigious universities in the world (Europe, Australia, USA...) they carry out the most complex data processing in the field of descriptive and inferential statistics; R, Python, SAS, SPSS, and STATA...

Testing a hypothesis
Parametric and non-parametric test
Robust test
Variety of sampling distribution - testing
Univariate and multivariate methods
Linear and non linear correlation
Mediation and moderation (SEM); full mediation, partial mediation, recursive and non recursive, CFA, EFA
Path analysis
Log-linear (qualitative data);
T-test, ANOVA (one-way, two-way;factorial; post hoc), MANOVA, Discriminative, Canonical correlation (CCA)
Bayesian inference (posterior probability); Bias
Posterior probability
ANCOVA - Analysis of covariance (general linear model)
MANCOVA - Multivariate Analysis of covariance
Bootstrapping procedures (re sampling by iteration)
Tranformation data - X3 (cube), X2 (squaresquare root), X0 (? log), reciprocal root, reciprocal, reciprocal square
Descriptive - MCT (mean, mode, median), MV (variance, standard deviation, Coefficient of variation, skewness, kurtosis, IQ, quantile...
Contingency tables
Data visualization - graphs, bars. charts, Q-Q plots, P-P plots, Box and plots, histograms, scatter, residual plots
Logit and probit, quantile, ridge - nonlinear regressions