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A reference that not just enlist the formulas of continuous (multivariate) distributions but goes in details about them and maybe treat the relations between them (e.g. derivation/proofs, intuition and applications).

Of course the normal distribution is not the problem, but, for example, the following are hardly touched in many books:

• Gamma, Beta
• Chi-square
• Student's t
• Multivariate Student's t

I found these references/books so far:

• statlect.com: contains all the mentioned distributions above but still feels like just a database of formulas.
• Introduction to Probability, Second Edition By Joseph K. Blitzstein, Jessica Hwang : this book touches on non-multivariate continuous distribution, and a good gamma, beta reference.

A reference that not just enlist the formulas of continuous (multivariate) distributions but goes in details about them and maybe treat the relations between them (e.g. derivation/proofs, intuition and applications).

Of course the normal distribution is not the problem, but, for example, the following are hardly touched in many books:

• Gamma, Beta
• Chi-square
• Student's t
• Multivariate Student's t

I found these references/books so far:

• statlect.com: contains all the mentioned distributions above but still feels like just a database of formulas.
• Introduction to Probability, Second Edition By Joseph K. Blitzstein, Jessica Hwang : this book touches on non-multivariate continuous distribution, and a good gamma, beta reference.

A reference that not just enlist the formulas of continuous (multivariate) distributions but goes in details about them and maybe treat the relations between them (e.g. derivation/proofs, intuition and applications).

Of course the normal distribution is not the problem, but, for example, the following are hardly touched in many books:

• Gamma, Beta
• Chi-square
• Student's t
• Multivariate Student's t

I found these references/books so far:

• statlect.com: contains all the mentioned distributions above but still feels like just a database of formulas.
• Introduction to Probability, Second Edition By Joseph K. Blitzstein, Jessica Hwang : this book touches on non-multivariate continuous distribution, and a good gamma, beta reference.

A reference that not just enlist the formulas of continuous (multivariate) distributions but goes in details about them and maybe treat the relations between them (e.g. derivation/proofs, intuition and applications).

Of course the normal distribution is not the problem, but, for example, the following are hardly touched in many books:

• Gamma, Beta
• Chi-square
• Student's t
• Multivariate Student's t

I found these references/books so far:

• statlect.com: contains all the mentioned distributions above but still feels like just a database of formulas.
• Introduction to Probability, Second Edition By Joseph K. Blitzstein, Jessica Hwang : this book touches on non-multivariate continuous distribution, and a good gamma, beta reference.