{"id":8,"date":"2020-11-05T14:50:29","date_gmt":"2020-11-05T14:50:29","guid":{"rendered":"https:\/\/dataanalysisbyopic.com.hr\/?page_id=8"},"modified":"2024-12-23T04:17:09","modified_gmt":"2024-12-23T04:17:09","slug":"contact","status":"publish","type":"page","link":"https:\/\/dataanalysisbyopic.com.hr\/?page_id=8","title":{"rendered":"Statistics"},"content":{"rendered":"\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Testing a hypothesis (polystohastic approach; p value, CI, effect size, bayesian statistics (BF))
<\/h5>\n\n\n\n\n
Parametric and non-parametric tests
<\/h5>\n\n\n\n\n
Robust test<\/h5>\n\n\n\n\n
Variety of sampling distribution – testing<\/h5>\n\n\n\n\n
Univariate and multivariate methods<\/h5>\n\n\n\n\n
Linear and non linear correlation (zero order, first order…)
<\/h5>\n\n\n\n\n
Mediation and moderation (SEM); full mediation, partial mediation, recursive and non recursive, CFA, EFA<\/h5>\n\n\n\n\n

Path analysis<\/h4>\n\n\n\n\n

Log-linear (qualitative data);<\/h4>\n\n\n\n\n

T-test, ANOVA (one-way, two-way;n way; factorial; post hoc), MANOVA, Discriminative analysis, Canonical<\/h5>

correlation (CCA),
<\/h4>\n\n\n\n\n

Bayesian inference (posterior probability);  Bias
<\/h5>\n\n\n\n\n
Posterior probability
<\/h5>\n\n\n\n\n
ANCOVA – Analysis of covariance (general linear model)<\/h5>\n\n\n\n\n
MANCOVA – Multivariate Analysis of covariance (n way)
<\/h5>\n\n\n\n\n
Bootstrapping procedures (re sampling by iteration)<\/h5>\n
Tranformation data – X<\/span>3<\/sup> (cube),<\/span>X<\/span>2<\/sup>  <\/sub>(square),<\/span>(square root),<\/span>X<\/span>0<\/sup>  <\/span>(?log), reciprocal root, reciprocal,reciprocal square<\/span>\n \n
\n


<\/p>\n <\/td>\n <\/tr>\n<\/tbody><\/table><\/h5>\n\n\n\n\n

Descriptive –  MCT (mean, mode, median), MV (variance, standard deviation, Coefficient of variation, skewness, kurtosis, IQ, quantile…<\/h5>\n\n\n\n\n
Contingency tables<\/h5>\n\n\n\n\n
Data visualization –  graphs, bars. charts, Q-Q plots, P-P plots, Box and plots, histograms, scatter, residual plots<\/h5>\n\n\n\n\n
Logit and probit regression, laso mad ridge regresion (L1 regularization, <\/b><\/span><\/span><\/h5>
L2 regularization<\/b><\/span><\/span>)
<\/h5>\n\n\n
Ridge regression, quantile regression, Multinomial logistic regression; logit, probit….<\/span><\/h5>\n
MACHINE LEARNING – Neural Networks (CNN, GNN, RNN…)<\/span\u00a0style=\"color:><\/h5>\n

Kernel regression <\/strong><\/p>\n

Cox regression (Kaplan Meier)<\/strong>
<\/p>\n\n\n\n\n\n\n\n\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":0,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"yoast_head":"\nStatistics - Data Analysis by Opic<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dataanalysisbyopic.com.hr\/?page_id=8\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Statistics - Data Analysis by Opic\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dataanalysisbyopic.com.hr\/?page_id=8\" \/>\n<meta property=\"og:site_name\" content=\"Data Analysis by Opic\" \/>\n<meta property=\"article:modified_time\" content=\"2024-12-23T04:17:09+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\">\n\t<meta name=\"twitter:data1\" content=\"1 minute\">\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":[\"Person\",\"Organization\"],\"@id\":\"https:\/\/dataanalysisbyopic.com.hr\/#\/schema\/person\/52e9c1546bb4ce333c85c38831095d73\",\"name\":\"admin\",\"image\":{\"@type\":\"ImageObject\",\"@id\":\"https:\/\/dataanalysisbyopic.com.hr\/#personlogo\",\"inLanguage\":\"en-US\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/602513f8e6468265664844cfde14cc59?s=96&d=mm&r=g\",\"caption\":\"admin\"},\"logo\":{\"@id\":\"https:\/\/dataanalysisbyopic.com.hr\/#personlogo\"},\"sameAs\":[\"http:\/\/dataanalysisbyopic.com.hr\"]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/dataanalysisbyopic.com.hr\/#website\",\"url\":\"https:\/\/dataanalysisbyopic.com.hr\/\",\"name\":\"Data Analysis by Opic\",\"description\":\"Data Analysis and Statistics\",\"publisher\":{\"@id\":\"https:\/\/dataanalysisbyopic.com.hr\/#\/schema\/person\/52e9c1546bb4ce333c85c38831095d73\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":\"https:\/\/dataanalysisbyopic.com.hr\/?s={search_term_string}\",\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/dataanalysisbyopic.com.hr\/?page_id=8#webpage\",\"url\":\"https:\/\/dataanalysisbyopic.com.hr\/?page_id=8\",\"name\":\"Statistics - Data Analysis by Opic\",\"isPartOf\":{\"@id\":\"https:\/\/dataanalysisbyopic.com.hr\/#website\"},\"datePublished\":\"2020-11-05T14:50:29+00:00\",\"dateModified\":\"2024-12-23T04:17:09+00:00\",\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/dataanalysisbyopic.com.hr\/?page_id=8\"]}]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","_links":{"self":[{"href":"https:\/\/dataanalysisbyopic.com.hr\/index.php?rest_route=\/wp\/v2\/pages\/8"}],"collection":[{"href":"https:\/\/dataanalysisbyopic.com.hr\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/dataanalysisbyopic.com.hr\/index.php?rest_route=\/wp\/v2\/types\/page"}],"replies":[{"embeddable":true,"href":"https:\/\/dataanalysisbyopic.com.hr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=8"}],"version-history":[{"count":26,"href":"https:\/\/dataanalysisbyopic.com.hr\/index.php?rest_route=\/wp\/v2\/pages\/8\/revisions"}],"predecessor-version":[{"id":379,"href":"https:\/\/dataanalysisbyopic.com.hr\/index.php?rest_route=\/wp\/v2\/pages\/8\/revisions\/379"}],"wp:attachment":[{"href":"https:\/\/dataanalysisbyopic.com.hr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=8"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}