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Quantitative Modelling (Statistics)
These are comprehensive, well-structured Quantitative Modelling (Statistics) Notes that cover the definitions, theorems, proofs, derivations and examples extracted from lectures, masterclasses and a variety of books. Topics included are:
(1) Introduction & Descriptive Statistics
(2) Probability Theory
(3) Discrete Random Variables & their Distributions
(4) Generating Functions
(5) Continuous Random Variables & their Distributions
(6) Multivariate Probability Distributions
(7) Sampling Distributi...
- Book
- Lecture notes
- • 54 pages •
These are comprehensive, well-structured Quantitative Modelling (Statistics) Notes that cover the definitions, theorems, proofs, derivations and examples extracted from lectures, masterclasses and a variety of books. Topics included are:
(1) Introduction & Descriptive Statistics
(2) Probability Theory
(3) Discrete Random Variables & their Distributions
(4) Generating Functions
(5) Continuous Random Variables & their Distributions
(6) Multivariate Probability Distributions
(7) Sampling Distributi...
Quantitative Modelling (Statistics)
These are comprehensive, well-structured Quantitative Modelling (Statistics) Notes that cover the definitions, theorems, proofs, derivations and examples extracted from lectures, masterclasses and a variety of books.

Topics included are:
1. Introduction & Descriptive Statistics
2. Probability Theory
3. Discrete Random Variables & their Distributions
4. Generating Functions
5. Continuous Random Variables & their Distributions
6. Multivariate Probability Distributions
7. Sampling Distribution & C...
- Book
- Lecture notes
- • 54 pages •
These are comprehensive, well-structured Quantitative Modelling (Statistics) Notes that cover the definitions, theorems, proofs, derivations and examples extracted from lectures, masterclasses and a variety of books.

Topics included are:
1. Introduction & Descriptive Statistics
2. Probability Theory
3. Discrete Random Variables & their Distributions
4. Generating Functions
5. Continuous Random Variables & their Distributions
6. Multivariate Probability Distributions
7. Sampling Distribution & C...
Criminology - Positivism, Biological Positivism, Psychological Positivism & Contemporary Classicism
These are comprehensive, well-structured Introduction to Criminology Notes that cover the concepts, theories, quotes and research evidences extracted from a plethora of books. Topics included are Positivism, Biological Positivism, Psychological Positivism & Contemporary Classicism. These notes have helped me achieved a distinction essay, which I have also included in these notes as an example along with a reference list formatted in Harvard style. Total of 28 pages.
- Book
- Summary
- • 28 pages •
These are comprehensive, well-structured Introduction to Criminology Notes that cover the concepts, theories, quotes and research evidences extracted from a plethora of books. Topics included are Positivism, Biological Positivism, Psychological Positivism & Contemporary Classicism. These notes have helped me achieved a distinction essay, which I have also included in these notes as an example along with a reference list formatted in Harvard style. Total of 28 pages.