A Modern Introduction to Probability And Statistics: Understanding Why And How (repost)

A Modern Introduction to Probability and Statistics: Understanding Why and How (Repost)  eBooks & eLearning

Posted by AvaxGenius at March 10, 2020
A Modern Introduction to Probability and Statistics: Understanding Why and How (Repost)

A Modern Introduction to Probability and Statistics: Understanding Why and How by Frederik Michel Dekking
English | PDF | 2005 | 485 Pages | ISBN : 1852338962 | 3.26 MB

Probability and Statistics are studied by most science students, usually as a second- or third-year course. Many current texts in the area are just cookbooks and, as a result, students do not know why they perform the methods they are taught, or why the methods work. The strength of this book is that it readdresses these shortcomings; by using examples, often from real-life and using real data, the authors can show how the fundamentals of probabilistic and statistical theories arise intuitively. It provides a tried and tested, self-contained course, that can also be used for self-study.
A Modern Introduction to Probability and Statistics: Understanding Why and How (Repost)

A Modern Introduction to Probability and Statistics: Understanding Why and How By Frederik Michel Dekking, Cornelis Kraaikamp, Hendrik Paul Lopuhaä, Ludolf Erwin Meester (auth.)
2005 | 488 Pages | ISBN: 1852338962 | PDF | 9 MB

A Modern Introduction to Probability and Statistics: Understanding Why and How (Repost)  eBooks & eLearning

Posted by AvaxGenius at Jan. 21, 2020
A Modern Introduction to Probability and Statistics: Understanding Why and How (Repost)

A Modern Introduction to Probability and Statistics: Understanding Why and How by Frederik Michel Dekking
English | PDF | 2005 | 485 Pages | ISBN : 1852338962 | 3.26 MB

Probability and Statistics are studied by most science students, usually as a second- or third-year course. Many current texts in the area are just cookbooks and, as a result, students do not know why they perform the methods they are taught, or why the methods work. The strength of this book is that it readdresses these shortcomings; by using examples, often from real-life and using real data, the authors can show how the fundamentals of probabilistic and statistical theories arise intuitively. It provides a tried and tested, self-contained course, that can also be used for self-study.