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Exercises of Advanced Statistics
Exercises of Advanced Statistics
Exercises of Advanced Statistics
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Exercises of Advanced Statistics

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In this book, exercises are carried out regarding the following mathematical topics:
random variables, mean, variance, covariance
marginal and joint probability distributions
continuous and discrete probability distributions
remarkable theorems and inequalities of statistics
Initial theoretical hints are also presented to make the conduct of the exercises understandable.

LanguageEnglish
PublisherBookRix
Release dateApr 23, 2023
ISBN9783755440024
Exercises of Advanced Statistics
Author

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 Advanced Statistics - Simone Malacrida

    Table of Contents

    Table of Contents

    Exercises of Advanced Statistics

    INTRODUCTION

    THEORETICAL OUTLINE

    EXERCISES

    Exercises of Advanced Statistics

    Exercises of Advanced Statistics

    SIMONE MALACRIDA

    In this book, exercises are carried out regarding the following mathematical topics:

    random variables, mean, variance, covariance

    marginal and joint probability distributions

    continuous and discrete probability distributions

    remarkable theorems and inequalities of statistics

    Initial theoretical hints are also presented to make the conduct of the exercises understandable.

    Simone Malacrida (1977)

    Engineer and writer, has worked on research, finance, energy policy and industrial plants.

    ANALYTICAL INDEX

    ––––––––

    INTRODUCTION

    ––––––––

    I – THEORETICAL OUTLINE

    Random variables, distributions and properties

    Notable inequalities

    Convergence

    Discrete distributions

    Continuous distributions

    ––––––––

    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

    Exercise 27

    Exercise 28

    Exercise 29

    Exercise 30

    Exercise 31

    Exercise 32

    Exercise 33

    Exercise 34

    Exercise 35

    Exercise 36

    INTRODUCTION

    INTRODUCTION

    In this exercise book some examples of calculations related to advanced statistics are carried out.

    Furthermore, the main theorems and inequalities used in statistics are presented.

    The notion of random variable imposes a review of the elementary statistics system, going to define the probability distributions of this variable according to the various cases.

    Discrete and continuous distributions make it possible to mathematically abstract a large number of otherwise unsolved problems even using the finest knowledge of mathematical analysis.

    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 exposed in this workbook is generally addressed in university courses in statistics.

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