Search for dissertations about: "local polynomial regression"
Showing result 1 - 5 of 10 swedish dissertations containing the words local polynomial regression.
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1. Local Polynomial Regression with Application on Lidar Measurements
Abstract : This thesis deals with the problem of estimating a function or one of its derivatives from a set of measurements, mainly of a bivariate or spatial nature which is so common in environmental applications. In this work particular attention has been on the lidar (light detection and ranging) application which is a versatile technique for measurement of among other things atmospheric trace gases. READ MORE
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2. Essays on the Evaluation of Public Policies
Abstract : This thesis consists of four self-contained papers.Essay 1: This paper uses the synthetic control (SC) method to examine how the establishment of Nuclear Power Facilities (NPFs) in Japan in the 1970s and 1980s has affected local per capita income levels in the municipalities in which they were located (NPF municipalities). READ MORE
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3. Essays in Political Economics
Abstract : When Does Regression Discontinuity Design Work? Evidence from Random Election OutcomesWe use elections data in which a large number of ties in vote counts between candidates are resolved via a lottery to study the personal incumbency advantage. We benchmark non-experimental regression discontinuity design (RDD) estimates against the estimate produced by this experiment that suggests that there is no personal incumbency advantage. READ MORE
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4. Position Estimation and Tracking in Colloidal Particle Microscopy
Abstract : This thesis presents methods for estimating the locations (including depth) of spherical colloidal particles in images recorded in video microscopy. Understanding the behavior of colloidal interactions and diffusion is of crucial importance in a vast number of areas. READ MORE
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5. Continuous-Time Models in Kernel Smoothing
Abstract : This thesis consists of five papers (Papers A-E) treating problems in non-parametric statistics, especially methods of kernel smoothing applied to density estimation for stochastic processes (Papers A-D) and regression analysis (Paper E). A recurrent theme is to, instead of treating highly positively correlated data as ``asymptotically independent'', take advantage of local dependence structures by using continuous-time models. READ MORE