Multivariate Analysis Data Science by Jadhav Varsha (4 results)

Taschenbuch. Condition: Neu. Multivariate Analysis for Data Science | Varsha Jadhav (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206791478 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Multivariate analysis is a type of statistical analysis, which consists of more than two dependent variables which results in single outcome. Many real world problems are examples of multivariate equations because whatever happens in the world is due to multiple reasons. Multivariate analysis is very important as it enables to understand the relationship between multiple variables and forecast and predict the behavior of variables based on observations. Multivariate techniques are used to analyze dataset. It also measures latent variables by building structural equation model. It also helps in reduction and simplification of data without losing its important details. It helps in statistical inference of multiple independent as well as dependent variables. 140 pp. Englisch.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Multivariate analysis is a type of statistical analysis, which consists of more than two dependent variables which results in single outcome. Many real world problems are examples of multivariate equations because whatever happens in the world is due to mul.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Multivariate analysis is a type of statistical analysis, which consists of more than two dependent variables which results in single outcome. Many real world problems are examples of multivariate equations because whatever happens in the world is due to multiple reasons. Multivariate analysis is very important as it enables to understand the relationship between multiple variables and forecast and predict the behavior of variables based on observations. Multivariate techniques are used to analyze dataset. It also measures latent variables by building structural equation model. It also helps in reduction and simplification of data without losing its important details. It helps in statistical inference of multiple independent as well as dependent variables.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 140 pp. Englisch.…