A Modern Introduction to Probability and Statistics Understanding Why and How 1st edition by Dekking, Kraaikamp, Lopuhaä, Meester ISBN 1852338962 978-1852338961

A Modern Introduction to Probability and Statistics Understanding Why and How 1st edition by Dekking, Kraaikamp, Lopuhaä, Meester – Ebook PDF Instant Download/Delivery: 1852338962, 978-1852338961
Full download A Modern Introduction to Probability and Statistics Understanding Why and How 1st edition after payment

Product details:

ISBN 10: 1852338962
ISBN 13: 978-1852338961
Author: Dekking, Kraaikamp, Lopuhaä, Meester 

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 show how the fundamentals of probabilistic and statistical theories arise intuitively.

A Modern Introduction to Probability and Statistics has numerous quick exercises to give direct feedback to students. In addition there are 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 pre-requisite is a first course in calculus; the text covers standard statistics and probability material, and develops beyond traditional parametric models to the Poisson process, and on to modern methods such as the bootstrap.

A Modern Introduction to Probability and Statistics Understanding Why and How 1st Table of contents:

1 Why probability and statistics?

2 Outcomes, events, and probability

3 Conditional probability and independence

4 Discrete random variables

5 Continuous random variables

6 Simulation

7 Expectation and variance

8 Computations with random variables

9 Joint distributions and independence

10 Covariance and correlation

11 More computations with more random variables

12 The Poisson process

13 The law of large numbers

14 The central limit theorem

15 Exploratory data analysis: graphical summaries

16 Exploratory data analysis: numerical summaries

17 Basic statistical models

18 The bootstrap

19 Unbiased estimators

20 Efficiency and mean squared error

21Maximum likelihood

22 The method of least squares

23 Confidence intervals for the mean

24 More on confidence intervals

25 Testing hypotheses: essentials

26 Testing hypotheses: elaboration

27 The t-test

28 Comparing two samples

People also search for A Modern Introduction to Probability and Statistics Understanding Why and How 1st :

a modern introduction to probability and statistics

a modern introduction to probability and statistics pdf

a modern introduction to probability and statistics solutions

a modern introduction to probability and statistics dekking

a modern introduction to probability and statistics springer

Tags: Dekking, Kraaikamp, Lopuhaä, Meester, A Modern, Statistics Understanding