You might also like

More about Multivariate Analysis for Data Science

• Book details
• Synopsis
• Trending among others

You get 169 loyalty points

Book synopsis

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.

Book details

• Full title: Multivariate Analysis for Data Science
• Author: Dhananjay Dolas
• Language: English
• Binding: Paperback
• Number of pages: 140
• EAN: 9786206791478
• ISBN: 6206791475
• ID: 44442565
• Publisher: LAP LAMBERT Academic Publishing
• Weight: 227 g
• Dimensions: 220 × 150 × 9 mm
• Date of publishing: 20. October 2023

Trending among others

---

---

---