Order Statistics: Theory & Methods

Spatial statistics are useful in subjects as diverse as climatology, ecology, economics, environmental and earth sciences, epidemiology, image analysis and more. This book covers the best-known spatial models for three types of spatial data: geostatistical data (stationarity, intrinsic models, variograms, spatial regression and space-time models), areal data (Gibbs-Markov fields and spatial auto-regression) and point pattern data (Poisson, Cox, Gibbs and Markov point processes). The level is relatively advanced, and the presentation concise but complete.

Discrete Mathematics for computer science: learn discrete math - number & graph theory, set theory, logic, proofs & more.

The skills you need to become a BI Analyst - Statistics, Database theory, SQL, Tableau – Everything is included

The skills you need to become a BI Analyst - Statistics, Database theory, SQL, Tableau – Everything is included

This collection covers all fields of mathematics, a must-have for the aspiring maths students and scholars alike.

The skills you need to become a BI Analyst - Statistics, Database theory, SQL, Tableau – Everything is included

Learn Quantitative Finance| Concept of T-Test| Correlation Theory| Regression Modeling| Multiple Regression Modeling etc

Learn the Mathematics, Statistics and Probability behind Data Science, Machine Learning, Artificial Intelligence!