Menu
Rendelés állapotának ellenőrzése
Kapcsolat
Könyv An Introductory Handbook of Bayesian Thinking Stephen C. Loftus

An Introductory Handbook of Bayesian Thinking

Szerző: Stephen C. Loftus
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Elsevier Science & Technology
Elérhetőség: Beszállítói készleten alacsony példányszámban
Küldés 13-18 napon belül
29 104 Ft
As Bayesian techniques become more common across a variety of fields, it becomes important for exper...

Információk a könyvről

Szerző
Stephen C. Loftus
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2024
oldal
350
EAN
9780323954594
ISBN
0323954596
Enbook ID
44342134
Kiadó
Elsevier Science & Technology
Súly
490
Méretek
151 x 229

Teljes leírás

As Bayesian techniques become more common across a variety of fields, it becomes important for experts in those fields to understand those methods. An Introductory Handbook of Bayesian Thinking brings Bayesian thinking and methods to a wide audience beyond the mathematical sciences. Appropriate for students with some background in calculus and introductory statistics as well as for non-statisticians with sufficient mathematical background, the text uses a specific methodology to illustrate Bayesian ideas. Focusing on in the first half, the book builds up the basic rules of probability and random variables. From there, this valuable introduction transition to the idea of likelihoods and switching to the Bayesian paradigm of thinking. The second half of the text focuses on Bayesian models for specific situations, including hierarchical models for the mean and precision, regression, binomial/ordinal regression, and more. Throughout, real datasets are used to illustrate the models and their results. Additionally, readers are taught how to code up their models using the statistical software R—a basic introduction of which is provided in an Appendix. Utilizes real datasets to illustrate Bayesian models and their results Guides readers on coding Bayesian models using the statistical software R, including a helpful introduction and supporting online resource Appropriate for an undergraduate statistics course, as well as for non-statisticians with sufficient mathematical background (integral and differential Calculus and an introductory Statistics course)Covers any more advanced topics which readers may not be familiar with—such as the basic idea of vectors and matrices—as much as needed in order to foster understanding of core concepts

Érdekelheti

Bayesian Thinking in Biostatistics

Gary L Rosner
64 842 Ft

At Home With Times Tables

Richard Dawson
2 549 Ft

Red Horizons

Lt Gen Ion Mihai Pacepa
7 506 Ft

Elicitation

Luis C. Dias
117 454 Ft

In The Wilderness: How An Ordinary Christian Encounters an Extraordinary God

Renee Roeckelein
4 605 Ft

PCOS Diet

Jane Kennedy
6 259 Ft

Group Cognitive Behavior Therapy for Eating Disorders

Suzanne Bailey Straebler
88 222 Ft

Azok a vásárlók, akik ezt a könyvet megvásárolták, a következőket is megvásárolták

Edukacja polonistyczna. Pierwszy elementarz

Marta Buk-Cegiełka
2 316 Ft

Projektor Smart sketcher 2.0 SSP176

40 155 Ft

Viaggi alla scoperta di sé. Itinerari per conoscere se stessi e il mondo

13 545 Ft