𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Probably not : future prediction using probability and statistical inference

✍ Scribed by Lawrence N. Dworsky


Year
2020
Tongue
English
Leaves
335
Edition
Second edition.
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Probably Not: Future Prediction Using Pr
✍ Lawrence N. Dworsky πŸ“‚ Library πŸ“… 2008 πŸ› Wiley-Interscience 🌐 English

An engaging, entertaining, and informative introduction to probability and prediction in our everyday lives <p> Although Probably Not deals with probability and statistics, it is not heavily mathematical and is not filled with complex derivations, proofs, and theoretical problem sets. This boo

Probably Not: Future Prediction Using Pr
✍ Lawrence N. Dworsky πŸ“‚ Library πŸ“… 2008 πŸ› Wiley-Interscience 🌐 English

An engaging, entertaining, and informative introduction to probability and prediction in our everyday livesAlthough Probably Not deals with probability and statistics, it is not heavily mathematical and is not filled with complex derivations, proofs, and theoretical problem sets. This book unveils t

Probably Not: Future Prediction Using Pr
✍ Lawrence N. Dworsky πŸ“‚ Library πŸ“… 2019 πŸ› John Wiley & Sons 🌐 English

A revised edition that explores random numbers, probability, and statistical inference at an introductory mathematical level. Written in an engaging and entertaining manner, the revised and updated second edition of Probably Not continues to offer an informative guide to probability and prediction.

Probability and Statistical Inference: V
✍ J. G. Kalbfleisch (auth.) πŸ“‚ Library πŸ“… 1985 πŸ› Springer-Verlag New York 🌐 English

<p>This book is in two volumes, and is intended as a text for introductory courses in probability and statistics at the second or third year university level. It emphasizes applications and logical principles rather than mathΒ­ ematical theory. A good background in freshman calculus is sufficient for

Probability and Statistical Inference
✍ Nitis Mukhopadhyay πŸ“‚ Library πŸ“… 2000 πŸ› CRC Press 🌐 English

Priced very competitively compared with other textbooks at this level! This gracefully organized textbook reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, numerous figures and tables, and computer simulations to develo