Timeline for Most mathematically rigorous books to learn statistics from? [duplicate]
Current License: CC BY-SA 4.0
12 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Nov 25, 2019 at 20:32 | comment | added | Nick Cox | There was a long history in major statistical journals of sharp reviews of successive editions of the Kendall series (latterly revised by Stuart, Ord and Arnold, but of those four only Keith Ord survives and the series appears stalled) as being less than rigorous. It has other virtues, but rigour is not its main claim to attention. Wasserman's books are a nice compromise between clarity and rigour. | |
| Nov 25, 2019 at 20:31 | history | closed |
Robert Long Michael R. Chernick jbowman whuber♦ |
Duplicate of rigorous statistical-inference book recommendation | |
| Nov 25, 2019 at 20:13 | answer | added | JTH | timeline score: 3 | |
| Nov 25, 2019 at 16:59 | history | edited | stranger | CC BY-SA 4.0 |
edited title
|
| Nov 25, 2019 at 16:56 | history | made wiki | Post Made Community Wiki by whuber♦ | ||
| Nov 25, 2019 at 16:54 | history | edited | stranger | CC BY-SA 4.0 |
edited title
|
| Nov 25, 2019 at 16:50 | review | Close votes | |||
| Nov 25, 2019 at 20:35 | |||||
| Nov 25, 2019 at 16:48 | history | edited | stranger | CC BY-SA 4.0 |
added 13 characters in body; edited title
|
| Nov 25, 2019 at 16:39 | answer | added | PsychometStats | timeline score: 1 | |
| Nov 25, 2019 at 16:39 | comment | added | Sycorax♦ | stats.stackexchange.com/… | |
| Nov 25, 2019 at 16:35 | review | First posts | |||
| Nov 25, 2019 at 16:53 | |||||
| Nov 25, 2019 at 16:33 | history | asked | stranger | CC BY-SA 4.0 |