Bayesian Statistics for Experimental Scientists

افزودن به بوکمارک اشتراک گذاری 0 دیدگاه کاربران 4 (1)

A General Introduction Using Distribution-Free Methods

مشارکت: عنوان و توضیح کوتاه هر کتاب را ترجمه کنید این ترجمه بعد از تایید با نام شما در سایت نمایش داده خواهد شد.

ترجمه این کتاب مشاهده همه کتاب های ترجمه نشده

A General Introduction Using Distribution-Free Methods

An introduction to the Bayesian approach to statistical inference that demonstrates its superiority to orthodox frequentist statistical analysis.This book offers an introduction to the Bayesian approach to statistical inference, with a focus on nonparametric and distribution-free methods. It covers not only well-developed methods for doing Bayesian statistics but also novel tools that enable Bayesian statistical analyses for cases that previously did not have a full Bayesian solution. The book's premise is that there are fundamental problems with orthodox frequentist statistical analyses that distort the scientific process. Side-by-side comparisons of Bayesian and frequentist methods illustrate the mismatch between the needs of experimental scientists in making inferences from data and the properties of the standard tools of classical statistics.

The book first covers elementary probability theory, the binomial model, the multinomial model, and methods for comparing different experimental conditions or groups. It then turns its focus to distribution-free statistics that are based on having ranked data, examining data from experimental studies and rank-based correlative methods. Each chapter includes exercises that help readers achieve a more complete understanding of the material.

The book devotes considerable attention not only to the linkage of statistics to practices in experimental science but also to the theoretical foundations of statistics. Frequentist statistical practices often violate their own theoretical premises. The beauty of Bayesian statistics, readers will learn, is that it is an internally coherent system of scientific inference that can be proved from probability theory.

لغو

گزارش تخلف

مغایرت عنوان کتاب با توضیحات و تصویر جلد
عدم رعایت حقوق نشر طبق قوانین جمهوری اسلامی ایران
محتوای مستهجن
توهین به قومیتها و محتوای نژادپرستی
توهین به اقیلیتهای مذهبی
اهانت به مقامات سیاسی و مذهبی
اشاعه ی کودک آزاری
سایر موارد

بستن

فرمت کتاب

ebook

زبان

english

تاریخ انتشار

2020

نویسنده

Richard A Chechile

ناشر

MIT Press

شابک

9780262044585

20,000 تومان

خرید کتاب مطالعه نمونه درخواست ترجمه کتاب

خرید کتاب Bayesian Statistics for Experimental Scientists

Bayesian Statistics for Experimental Scientists

گزارش تخلف

فرمت کتاب

ebook

زبان

english

تاریخ انتشار

2020

نویسنده

ناشر

شابک

کتاب های مرتبط

Bayesian Applications in Pharmaceutical Development

Hierarchical Modeling and Analysis for Spatial Data

Bayesian Methods for Data Analysis

Bayesian data analysis

Bayesian Models

Bayesian Statistics in Actuarial Science

Investigations in the General Theory of Statistical Decisions (Proceedings of the Steklov Institute of Mathematics ; No 124)

Bayesian Artificial Intelligence

Bayesian Methods for Measures of Agreement

Bayesian Item Response Modeling

Bayesian Core

Approximation Methods for Efficient Learning of Bayesian Networks

Bayes and Empirical Bayes Methods for Data Analysis (Texts in Statistical Science)

Bayes and Empirical Bayes Methods for Data Analysis (Texts in Statistical Science)

Multivariate Bayesian Statistics

Measurement Error and Misclassification in Statistics and Epidemiology

Bayesian Artificial Intelligence

Bayesian Random Effect and Other Hierarchical Models

Statistical Multisource-Multitarget Information Fusion

The Signal and the Noise

The Signal and the Noise

دیدگاه کاربران