COVID-19 UPDATES

  • Masks covering your nose and mouth are required for entry.
  • HOLIDAY ALERT: Online Orders will NOT be processed during our closure on November 25 & 26. We will process them as quickly as we can beginning on Saturday, November 27. A reminder: your order is not complete until you receive an email confirming that it is ready for pickup! Thank you! 

 

TOP 21 OF 2021

Statistical Modeling Using Local Gaussian Approximation (Paperback)

PLEASE READ BEFORE PLACING AN ORDER:

-Please do not come to the store until you get a confirmation email that your order is complete and ready for pickup!

-Please place orders for pre-order titles separately. If your pre-order is placed with other titles, please note that we will add additional shipping fees.

-Women & Children First is not responsible for lost or stolen packages.

Statistical Modeling Using Local Gaussian Approximation Cover Image
Unavailable from our sources

Description


Statistical Modeling using Local Gaussian Approximation extends powerful characteristics of the Gaussian distribution, perhaps, the most well-known and most used distribution in statistics, to a large class of non-Gaussian and nonlinear situations through local approximation. This extension enables the reader to follow new methods in assessing dependence and conditional dependence, in estimating probability and spectral density functions, and in discrimination. Chapters in this release cover Parametric, nonparametric, locally parametric, Dependence, Local Gaussian correlation and dependence, Local Gaussian correlation and the copula, Applications in finance, and more.

Additional chapters explores Measuring dependence and testing for independence, Time series dependence and spectral analysis, Multivariate density estimation, Conditional density estimation, The local Gaussian partial correlation, Regression and conditional regression quantiles, and a A local Gaussian Fisher discriminant.

Product Details
ISBN: 9780128158616
ISBN-10: 0128158611
Publisher: Academic Press
Publication Date: October 8th, 2021
Pages: 460
Language: English