Use coupon code “WINTER20” for a 20% discount on all items! Valid until 30-11-2024

Site Logo
Search Suggestions

      Royal Mail  express delivery to UK destinations

      Regular sales and promotions

      Stock updates every 20 minutes!

      Statistical Modeling Using Local Gaussian Approximation

      1 in stock

      Firm sale: non returnable item
      SKU 9780128158616 Categories ,
      Select Guide Rating
      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. ...

      £97.99

      Buy new:

      Delivery: UK delivery Only. Usually dispatched in 1-2 working days.

      Shipping costs: All shipping costs calculated in the cart or during the checkout process.

      Standard service (normally 2-3 working days): 48hr Tracked service.

      Premium service (next working day): 24hr Tracked service – signature service included.

      Royal mail: 24 & 48hr Tracked: Trackable items weighing up to 20kg are tracked to door and are inclusive of text and email with ‘Leave in Safe Place’ options, but are non-signature services. Examples of service expected: Standard 48hr service – if ordered before 3pm on Thursday then expected delivery would be on Saturday. If Premium 24hr service used, then expected delivery would be Friday.

      Signature Service: This service is only available for tracked items.

      Leave in Safe Place: This option is available at no additional charge for tracked services.

      Description

      Product ID:9780128158616
      Product Form:Paperback / softback
      Country of Manufacture:NL
      Title:Statistical Modeling Using Local Gaussian Approximation
      Authors:Author: Bard Stove, Hakon Otneim, Dag Tjostheim
      Page Count:458
      Subjects:Business mathematics and systems, Business mathematics & systems
      Description:Select Guide Rating
      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.
      Imprint Name:Academic Press Inc
      Publisher Name:Elsevier Science Publishing Co Inc
      Country of Publication:GB
      Publishing Date:2021-10-08

      Additional information

      Weight736 g
      Dimensions156 × 229 × 28 mm