|
Books > Science & Mathematics > Mathematics > Probability & statistics
|
Buy Now
Data Analysis and Approximate Models - Model Choice, Location-Scale, Analysis of Variance, Nonparametric Regression and Image Analysis (Hardcover)
Loot Price: R4,732
Discovery Miles 47 320
|
|
|
Data Analysis and Approximate Models - Model Choice, Location-Scale, Analysis of Variance, Nonparametric Regression and Image Analysis (Hardcover)
Series: Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Expected to ship within 12 - 17 working days
|
The First Detailed Account of Statistical Analysis That Treats
Models as Approximations The idea of truth plays a role in both
Bayesian and frequentist statistics. The Bayesian concept of
coherence is based on the fact that two different models or
parameter values cannot both be true. Frequentist statistics is
formulated as the problem of estimating the "true but unknown"
parameter value that generated the data. Forgoing any concept of
truth, Data Analysis and Approximate Models: Model Choice,
Location-Scale, Analysis of Variance, Nonparametric Regression and
Image Analysis presents statistical analysis/inference based on
approximate models. Developed by the author, this approach
consistently treats models as approximations to data, not to some
underlying truth. The author develops a concept of approximation
for probability models with applications to: Discrete data Location
scale Analysis of variance (ANOVA) Nonparametric regression, image
analysis, and densities Time series Model choice The book first
highlights problems with concepts such as likelihood and efficiency
and covers the definition of approximation and its consequences. A
chapter on discrete data then presents the total variation metric
as well as the Kullback-Leibler and chi-squared discrepancies as
measures of fit. After focusing on outliers, the book discusses the
location-scale problem, including approximation intervals, and
gives a new treatment of higher-way ANOVA. The next several
chapters describe novel procedures of nonparametric regression
based on approximation. The final chapter assesses a range of
statistical topics, from the likelihood principle to asymptotics
and model choice.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
You might also like..
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
(1)
