Exercises of Statistical Inference
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About this ebook
In this book, exercises are carried out regarding the following mathematical topics:
estimation theory
hypothesis testing and verification
linear regression
Initial theoretical hints are also presented to make the performance of the exercises understood.
Simone Malacrida
Simone Malacrida (1977) Ha lavorato nel settore della ricerca (ottica e nanotecnologie) e, in seguito, in quello industriale-impiantistico, in particolare nel Power, nell'Oil&Gas e nelle infrastrutture. E' interessato a problematiche finanziarie ed energetiche. Ha pubblicato un primo ciclo di 21 libri principali (10 divulgativi e didattici e 11 romanzi) + 91 manuali didattici derivati. Un secondo ciclo, sempre di 21 libri, è in corso di elaborazione e sviluppo.
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Exercises of Statistical Inference - Simone Malacrida
Exercises of Statistical Inference
SIMONE MALACRIDA
In this book, exercises are carried out regarding the following mathematical topics:
estimation theory
hypothesis testing and verification
linear regression
Initial theoretical hints are also presented to make the performance of the exercises understood.
Simone Malacrida (1977)
Engineer and writer, has worked on research, finance, energy policy and industrial plants.
ANALYTICAL INDEX
––––––––
INTRODUCTION
––––––––
I – THEORETICAL OUTLINE
Introduction
Estimation theory
Hypothesis testing
Regression
Bayesian inference
––––––––
II – EXERCISES
Exercise 1
Exercise 2
Exercise 3
Exercise 4
Exercise 5
Exercise 6
Exercise 7
Exercise 8
Exercise 9
Exercise 10
Exercise 11
Exercise 12
Exercise 13
Exercise 14
Exercise 15
Exercise 16
Exercise 17
Exercise 18
Exercise 19
Exercise 20
Exercise 21
Exercise 22
Exercise 23
Exercise 24
Exercise 25
Exercise 26
Exercise27
INTRODUCTION
In this exercise book, some examples of calculations related to statistical inference are carried out.
Furthermore, the main theorems used both in estimation theory and in hypothesis testing are presented.
The study of statistics, in fact, does not stop at the properties of continuous and discrete probability distributions, but expands into inference sectors, applying the statistical concepts of estimation, mean, variance, regression and hypothesis testing when in the presence of particular tests.
In order to understand in more detail what is presented in the resolution of the exercises, the theoretical reference context is recalled in the first chapter.
What is presented in this workbook is generally addressed in advanced statistics courses at university level.
I
THEORETICAL OUTLINE
Introduction
––––––––
Statistical inference falls