Detecting Discontinuities Using Nonparametric Smoothing Techniques in Correlated Data

Summary

Detecting Discontinuities Using Nonparametric Smoothing Techniques in Correlated Data is a doctoral thesis^[1].

Key Facts

• Detecting Discontinuities Using Nonparametric Smoothing Techniques in Correlated Data authored Christina Yap^[2].
• Detecting Discontinuities Using Nonparametric Smoothing Techniques in Correlated Data's instance of is recorded as doctoral thesis^[3].
• Detecting Discontinuities Using Nonparametric Smoothing Techniques in Correlated Data's OCLC number is recorded as 500310953^[4].
• Detecting Discontinuities Using Nonparametric Smoothing Techniques in Correlated Data's DOI is recorded as 10.5525/GLA.THESIS.83251^[5].
• Detecting Discontinuities Using Nonparametric Smoothing Techniques in Correlated Data's language of work or name is recorded as English^[6].
• Detecting Discontinuities Using Nonparametric Smoothing Techniques in Correlated Data's publication date is recorded as +2004-03-00T00:00:00Z^[7].
• Detecting Discontinuities Using Nonparametric Smoothing Techniques in Correlated Data's main subject is recorded as change detection^[8].
• Detecting Discontinuities Using Nonparametric Smoothing Techniques in Correlated Data's work available at URL is recorded as https://theses.gla.ac.uk/83251/1/2004YapPhD.pdf^[9].
• Detecting Discontinuities Using Nonparametric Smoothing Techniques in Correlated Data's described at URL is recorded as https://eleanor.lib.gla.ac.uk/record=b2187983^[10].
• Detecting Discontinuities Using Nonparametric Smoothing Techniques in Correlated Data's described at URL is recorded as https://theses.gla.ac.uk/83251^[11].
• Detecting Discontinuities Using Nonparametric Smoothing Techniques in Correlated Data's number of pages is recorded as {'unit': '1', 'amount': '+287'}^[12].
• Detecting Discontinuities Using Nonparametric Smoothing Techniques in Correlated Data's title is recorded as Detecting Discontinuities Using Nonparametric Smoothing Techniques in Correlated Data^[13].
• Detecting Discontinuities Using Nonparametric Smoothing Techniques in Correlated Data's cites work is recorded as Kernel Smoothing of Data with Correlated Errors^[14].
• Detecting Discontinuities Using Nonparametric Smoothing Techniques in Correlated Data's cites work is recorded as Detecting Abrupt Changes by Wavelet Methods^[15].
• Detecting Discontinuities Using Nonparametric Smoothing Techniques in Correlated Data's cites work is recorded as On the Use of Nonparametric Regression for Checking Linear Relationships^[16].
• Detecting Discontinuities Using Nonparametric Smoothing Techniques in Correlated Data's cites work is recorded as Likelihood ratio tests for multiple structural changes^[17].
• Detecting Discontinuities Using Nonparametric Smoothing Techniques in Correlated Data's cites work is recorded as Control Charts and Stochastic Processes^[18].
• Detecting Discontinuities Using Nonparametric Smoothing Techniques in Correlated Data's cites work is recorded as Q136110967^[19].
• Detecting Discontinuities Using Nonparametric Smoothing Techniques in Correlated Data's cites work is recorded as On the Statistical Analysis of Dirty Pictures^[20].
• Detecting Discontinuities Using Nonparametric Smoothing Techniques in Correlated Data's cites work is recorded as Bayesian Computation and Stochastic Systems^[21].
• Detecting Discontinuities Using Nonparametric Smoothing Techniques in Correlated Data's cites work is recorded as Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations^[22].
• Detecting Discontinuities Using Nonparametric Smoothing Techniques in Correlated Data's cites work is recorded as A change in level of a non-stationary time series^[23].
• Detecting Discontinuities Using Nonparametric Smoothing Techniques in Correlated Data's cites work is recorded as The problem of the Nile: Conditional solution to a changepoint problem^[24].
• Detecting Discontinuities Using Nonparametric Smoothing Techniques in Correlated Data's cites work is recorded as On the use of the variogram in checking for independence in spatial data^[25].
• Detecting Discontinuities Using Nonparametric Smoothing Techniques in Correlated Data's cites work is recorded as Local Linear Regression Smoothers and Their Minimax Efficiencies^[26].

Body

Designation and Status

Detecting Discontinuities Using Nonparametric Smoothing Techniques in Correlated Data's instance of is recorded as doctoral thesis^[3].