A Modern Introduction to Probability and Statistics: Understanding Why and How

A Modern Introduction to Probability and Statistics: Understanding Why and How - F. M. Dekking

A Modern Introduction to Probability and Statistics: Understanding Why and How


Probability and Statistics are studied by most science students. 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. This book readdresses these shortcomings; by using examples, often from real-life and using real data, the authors show how the fundamentals of probabilistic and statistical theories arise intuitively. There are numerous quick exercises to give direct feedback to students, and over 350 exercises, half of which have answers, of which half have full solutions. A website gives access to the data files used in the text, and, for instructors, the remaining solutions. The only prerequisite is a first course in calculus.
Suitable for self study

Use real examples and real data sets that will be familiar to the audience

Introduction to the bootstrap is included - this is a modern method missing in many other books


Suitable for self study

Use real examples and real data sets that will be familiar to the audience

Introduction to the bootstrap is included - this is a modern method missing in many other books


Suitable for self study

Use real examples and real data sets that will be familiar to the audience

Introduction to the bootstrap is included - this is a modern method missing in many other books


Suitable for self study

Use real examples and real data sets that will be familiar to the audience

Introduction to the bootstrap is included - this is a modern method missing in many other books

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353.31Lei

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Probability and Statistics are studied by most science students. 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. This book readdresses these shortcomings; by using examples, often from real-life and using real data, the authors show how the fundamentals of probabilistic and statistical theories arise intuitively. There are numerous quick exercises to give direct feedback to students, and over 350 exercises, half of which have answers, of which half have full solutions. A website gives access to the data files used in the text, and, for instructors, the remaining solutions. The only prerequisite is a first course in calculus.
Suitable for self study

Use real examples and real data sets that will be familiar to the audience

Introduction to the bootstrap is included - this is a modern method missing in many other books


Suitable for self study

Use real examples and real data sets that will be familiar to the audience

Introduction to the bootstrap is included - this is a modern method missing in many other books


Suitable for self study

Use real examples and real data sets that will be familiar to the audience

Introduction to the bootstrap is included - this is a modern method missing in many other books


Suitable for self study

Use real examples and real data sets that will be familiar to the audience

Introduction to the bootstrap is included - this is a modern method missing in many other books

Citeste mai mult

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