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Dissertations / Theses on the topic 'Estimating function'

Author: Grafiati

Published: 4 June 2021

Last updated: 21 February 2023

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1

Liang, Longjuan. "A semi-parametric approach to estimating item response functions." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1180453363.

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2

Rahikainen, I. (Ilkka). "Direct methodology for estimating the risk neutral probability density function." Master's thesis, University of Oulu, 2014. http://urn.fi/URN:NBN:fi:oulu-201404241289.

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The target of the study is to find out if the direct methodology could provide same information about the parameters of the risk neutral probability density function (RND) than the reference RND methodologies. The direct methodology is based on for defining the parameters of the RND from underlying asset by using futures contracts and only few at-the-money (ATM) and/or close at-the-money (ATM) options on asset. Of course for enabling the analysis of the feasibility of the direct methodology the reference RNDs must be estimated from the option data. Finally the results of estimating the paramet

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3

Farquharson, Maree Louise. "Estimating the parameters of polynomial phase signals." Thesis, Queensland University of Technology, 2006. https://eprints.qut.edu.au/16312/1/Maree_Farquharson_Thesis.pdf.

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Nonstationary signals are common in many environments such as radar, sonar, bioengineering and power systems. The nonstationary nature of the signals found in these environments means that classicalspectralanalysis techniques are notappropriate for estimating the parameters of these signals. Therefore it is important to develop techniques that can accommodate nonstationary signals. This thesis seeks to achieve this by firstly, modelling each component of the signal as having a polynomial phase and by secondly, developing techniques for estimating the parameters of these components. Several

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4

Farquharson, Maree Louise. "Estimating the parameters of polynomial phase signals." Queensland University of Technology, 2006. http://eprints.qut.edu.au/16312/.

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Nonstationary signals are common in many environments such as radar, sonar, bioengineering and power systems. The nonstationary nature of the signals found in these environments means that classicalspectralanalysis techniques are notappropriate for estimating the parameters of these signals. Therefore it is important to develop techniques that can accommodate nonstationary signals. This thesis seeks to achieve this by firstly, modelling each component of the signal as having a polynomial phase and by secondly, developing techniques for estimating the parameters of these components. Several app

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5

SALGADO, MARIA JOSE SEUANEZ. "MONETARY POLICY DURING THE REAL PLAN: ESTIMATING THE CENTRAL BANKS REACTION FUNCTION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2001. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=14073@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>Esta dissertação visa estudar a função de reação do Banco Central do Brasil durante o Plano Real. Argumenta-se que a taxa de juros nominal foi o instrumento mais importante de política monetária, sendo ajustado como resposta a variações na taxa de inflação, hiato do produto, reservas internacionais e ao seu próprio defasado. Estima-se então um modelo linear para a taxa de juros nominal. Em seguida, um Modelo como Limiar (modelo TAR) é usado para explicar uma mudança de regime na taxa de juros. Usando um indicador de crises cambiai

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6

Alnaji, Lulah A. "Generalized Estimating Equations for Mixed Models." Bowling Green State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1530292694012892.

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7

Glórias, Ludgero Miguel Carraça. "Estimating a knowledge production function and knowledge spillovers : a new two-step estimation procedure of a Spatial Autoregressive Poisson Model." Master's thesis, Instituto Superior de Economia e Gestão, 2020. http://hdl.handle.net/10400.5/20711.

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Mestrado em Econometria Aplicada e Previsão<br>Vários estudos econométricos procuram explicar os determinantes da criação de conhecimento usando como variável dependente o número de patenteamentos numa região. Alguns destes procuram captar os efeitos de Knowledge Spillovers através de modelos lineares que incorporam dependência espacial. No entanto, nenhum estudo foi encontrado que captasse este efeito, tendo em atenção a natureza discreta da variável dependente. Este trabalho pretende preencher essa lacuna propondo um novo estimador de máxima verosimilhança a dois passos para um modelo Poisso

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8

Cheng, Gang. "The nonparametric least-squares method for estimating monotone functions with interval-censored observations." Diss., University of Iowa, 2012. https://ir.uiowa.edu/etd/2839.

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Monotone function, such as growth function and cumulative distribution function, is often a study of interest in statistical literature. In this dissertation, we propose a nonparametric least-squares method for estimating monotone functions induced from stochastic processes in which the starting time of the process is subject to interval censoring. We apply this method to estimate the mean function of tumor growth with the data from either animal experiments or tumor screening programs to investigate tumor progression. In

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9

Lim, L. L.-Y. "Statistical methods for the assessment of lung function : Estimating the distribution of ventilation-perfusion ratio from inert gas experiments." Thesis, University of Reading, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.383447.

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10

Gavin, Victor S. "Evaluation of cost estimating methods for military software application in a COTS environment." Master's thesis, This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-02232010-020031/.

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11

Downey, Bruce W. J. "A regression based approach to estimating premorbid neuropsychological functioning in the older adult population using four tests of executive function." Thesis, University of Edinburgh, 2007. http://hdl.handle.net/1842/24534.

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Objective: Build regression equations based on a combination of demographic variables and an estimate of premorbid IQ (National Adult Reading Test) for four tests of executive function: the Trail Making Test (TMT), the Modified Six Elements Test (SET) and the Hayling and Brixton tests. Method: 106 neurologically stable community-dwelling older adults participated in the study. These volunteers completed all test measures. The data were analysed using descriptive statistics and correlation analysis. Hierarchical regression analysis was used to explore the relationship between potential predicto

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12

Li, Daoji. "Empirical likelihood and mean-variance models for longitudinal data." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/empirical-likelihood-and-meanvariance-models-for-longitudinal-data(98e3c7ef-fc88-4384-8a06-2c76107a9134).html.

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Improving the estimation efficiency has always been one of the important aspects in statistical modelling. Our goal is to develop new statistical methodologies yielding more efficient estimators in the analysis of longitudinal data. In this thesis, we consider two different approaches, empirical likelihood and jointly modelling the mean and variance, to improve the estimation efficiency. In part I of this thesis, empirical likelihood-based inference for longitudinal data within the framework of generalized linear model is investigated. The proposed procedure takes into account the within-subje

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13

Iyengar, Madhumita. "An economic approach towards estimating health impacts of major transport investments and transport policies: A case study of transport emission abatement policy." Thesis, Queensland University of Technology, 2016. https://eprints.qut.edu.au/91723/1/Madhumita_Iyengar_Thesis.pdf.

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The PhD thesis developed an economic model as an integral part of the current Health Impact Assessment (HIA) framework. Based on a Health Production Function approach, the model showed how to estimate economic benefits of positive health gains generated by transport investment programs and transport policies. Using Australian mortality and morbidity statistics and applying econometric analysis, the case study quantified health benefits induced by transport emission abatement policies in dollar terms for the Australian households. Finally, the thesis demonstrated transferability of the economic

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14

Jin, Lei. "Generalized score tests for missing covariate data." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1625.

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15

Ainkaran, Ponnuthurai. "Analysis of Some Linear and Nonlinear Time Series Models." Thesis, The University of Sydney, 2004. http://hdl.handle.net/2123/582.

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Abstract This thesis considers some linear and nonlinear time series models. In the linear case, the analysis of a large number of short time series generated by a first order autoregressive type model is considered. The conditional and exact maximum likelihood procedures are developed to estimate parameters. Simulation results are presented and compare the bias and the mean square errors of the parameter estimates. In Chapter 3, five important nonlinear models are considered and their time series properties are discussed. The estimating function approach for nonlinear models is developed in d

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16

Kharoufeh, Jeffrey P. "Density estimation for functions of correlated random variables." Ohio : Ohio University, 1997. http://www.ohiolink.edu/etd/view.cgi?ohiou1177097417.

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17

Ainkaran, Ponnuthurai. "Analysis of Some Linear and Nonlinear Time Series Models." University of Sydney. Mathematics & statistics, 2004. http://hdl.handle.net/2123/582.

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Abstract This thesis considers some linear and nonlinear time series models. In the linear case, the analysis of a large number of short time series generated by a first order autoregressive type model is considered. The conditional and exact maximum likelihood procedures are developed to estimate parameters. Simulation results are presented and compare the bias and the mean square errors of the parameter estimates. In Chapter 3, five important nonlinear models are considered and their time series properties are discussed. The estimating function approach for nonlinear models is developed in d

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18

Kibua, Titus Kithanze. "Variance function estimation." Thesis, City University London, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.282078.

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19

Demirer, Mert. "Essays on production function estimation." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/127028.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Economics, May, 2020<br>Cataloged from the official PDF of thesis.<br>Includes bibliographical references (pages 193-201).<br>This first chapter develops a new method for estimating production functions with factor-augmenting technology and assesses its economic implications. The method does not impose parametric restrictions and generalizes prior approaches that rely on the CES production function. I first extend the canonical Olley-Pakes framework to accommodate factor-augmenting technology. Then, I show how to identify out

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20

Louw, Markus. "A population Monte Carlo approach to estimating parametric bidirectional reflectance distribution functions through Markov random field parameter estimation." Doctoral thesis, University of Cape Town, 2009. http://hdl.handle.net/11427/5179.

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In this thesis, we propose a method for estimating the parameters of a parametric bidirectional reflectance distribution function (BRDF) for an object surface. The method uses a novel Markov Random Field (MRF) formulation on triplets of corner vertex nodes to model the probability of sets of reflectance parameters for arbitrary reflectance models, given probabilistic surface geometry, camera, illumination, and reflectance image information. In this way, the BRDF parameter estimation problem is cast as a MRF parameter estimation problem. We also present a novel method for estimating the MRF par

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21

Esterhuizen, Gerhard. "Generalised density function estimation using moments and the characteristic function." Thesis, Link to the online version, 2003. http://hdl.handle.net/10019.1/1001.

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22

Yang, Zejiang. "Multiple roots of estimating functions and applications." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/NQ51239.pdf.

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23

Wang, Lu. "Cure Rate Model with Spline Estimated Components." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/28359.

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In some survival analysis of medical studies, there are often long term survivors who can be considered as permanently cured. The goals in these studies are to estimate the cure probability of the whole population and the hazard rate of the noncured subpopulation. The existing methods for cure rate models have been limited to parametric and semiparametric models. More specifically, the hazard function part is estimated by parametric or semiparametric model where the effect of covariate takes a parametric form. And the cure rate part is often estimated by a parametric logistic regression model.

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24

Amezziane, Mohamed. "SMOOTHING PARAMETER SELECTION IN NONPARAMETRIC FUNCTIONAL ESTIMATION." Doctoral diss., University of Central Florida, 2004. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3488.

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This study intends to build up new techniques for how to obtain completely data-driven choices of the smoothing parameter in functional estimation, within the confines of minimal assumptions. The focus of the study will be within the framework of the estimation of the distribution function, the density function and their multivariable extensions along with some of their functionals such as the location and the integrated squared derivatives.<br>Ph.D.<br>Department of Mathematics<br>Arts and Sciences<br>Mathematics

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25

Laeuchli, Jesse Harrison. "Methods for Estimating The Diagonal of Matrix Functions." W&M ScholarWorks, 2016. https://scholarworks.wm.edu/etd/1477067934.

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Many applications such as path integral evaluation in Lattice Quantum Chromodynamics (LQCD), variance estimation of least square solutions and spline ts, and centrality measures in network analysis, require computing the diagonal of a function of a matrix, Diag(f(A)) where A is sparse matrix, and f is some function. Unfortunately, when A is large, this can be computationally prohibitive. Because of this, many applications resort to Monte Carlo methods. However, Monte Carlo methods tend to converge slowly. One method for dealing with this shortcoming is probing. Probing assumes that nodes that

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26

Kim, Heeyoung. "Statistical methods for function estimation and classification." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/44806.

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This thesis consists of three chapters. The first chapter focuses on adaptive smoothing splines for fitting functions with varying roughness. In the first part of the first chapter, we study an asymptotically optimal procedure to choose the value of a discretized version of the variable smoothing parameter in adaptive smoothing splines. With the choice given by the multivariate version of the generalized cross validation, the resulting adaptive smoothing spline estimator is shown to be consistent and asymptotically optimal under some general conditions. In the second part, we derive the asympt

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27

Ilvedson, Corinne Rachel 1974. "Transfer function estimation using time-frequency analysis." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/50472.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1998.<br>Includes bibliographical references (p. 135-136).<br>Given limited and noisy data, identifying the transfer function of a complex aerospace system may prove difficult. In order to obtain a clean transfer function estimate despite noisy data, a time-frequency analysis approach to system identification has been developed. The method is based on the observation that for a linear system, an input at a given frequency should result in a response at the same frequency, and a time localized frequency

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28

Patwardhan, Rohit S. "Frequency Response and Coherence function estimation methods." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1592169805143687.

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29

Ptáček, Martin. "Spatial Function Estimation with Uncertain Sensor Locations." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-449288.

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Tato práce se zabývá úlohou odhadování prostorové funkce z hlediska regrese pomocí Gaussovských procesů (GPR) za současné nejistoty tréninkových pozic (pozic senzorů). Nejdříve je zde popsána teorie v pozadí GPR metody pracující se známými tréninkovými pozicemi. Tato teorie je poté aplikována při odvození výrazů prediktivní distribuce GPR v testovací pozici při uvážení nejistoty tréninkových pozic. Kvůli absenci analytického řešení těchto výrazů byly výrazy aproximovány pomocí metody Monte Carlo. U odvozené metody bylo demonstrováno zlepšení kvality odhadu prostorové funkce oproti standardnímu

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30

Yoo, Hyungsuk. "Quality of the Volterra transfer function estimation /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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31

Yake, Bronson Thomas. "Self-Smoothing Functional Estimation." MSSTATE, 2002. http://sun.library.msstate.edu/ETD-db/theses/available/etd-09032002-090546/.

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Analysis of measured data is often required when there is no deep understanding of the mathematics that accurately describes the process being measured. Additionally, realistic estimation of the derivative of measured data is often useful. Current techniques of accomplishing this type of data analysis are labor intensive, prone to significant error, and highly dependent on the expertise of the engineer performing the analysis. The ?Self-Smoothing Functional Estimation? (SSFE) algorithm was developed to automate the analysis of measured data and to provide a reliable basis for the extraction of

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32

Kohatsu, Higa Arturo, and Kazuhiro Yasuda. "Estimating multidimensional density functions using the Malliavin-Thalmaier formula." Pontificia Universidad Católica del Perú, 2014. http://repositorio.pucp.edu.pe/index/handle/123456789/96672.

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The Malliavin-Thalmaier formula was introduced for simulation of high dimensional probability density functions. But when this integration by parts formula is applied directly in computer simulations, we show that it is unstable. We propose an approximation to the Malliavin-Thalmaier formula. In this paper, we find the order of the bias and the variance of the approximation error. And we obtain an explicit Malliavin-Thalmaier formula for the calculation of Greeks in finance. The weights obtained are free from the curse of dimensionality.

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33

Mantzel, William. "Parametric estimation of randomly compressed functions." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/49053.

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Within the last decade, a new type of signal acquisition has emerged called Compressive Sensing that has proven especially useful in providing a recoverable representation of sparse signals. This thesis presents similar results for Compressive Parametric Estimation. Here, signals known to lie on some unknown parameterized subspace may be recovered via randomized compressive measurements, provided the number of compressive measurements is a small factor above the product of the parametric dimension with the subspace dimension with an additional logarithmic term. In addition to potential applica

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34

Bissey, Marie-Edith. "Semi-parametric estimation of preference functions." Thesis, University of York, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.428532.

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35

Jiang, Yong. "Estimation of Hazard Function for Right Truncated Data." Digital Archive @ GSU, 2011. http://digitalarchive.gsu.edu/math_theses/94.

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This thesis centers on nonparametric inferences of the cumulative hazard function of a right truncated variable. We present three variance estimators for the Nelson-Aalen estimator of the cumulative hazard function and conduct a simulation study to investigate their performances. A close match between the sampling standard deviation and the estimated standard error is observed when an estimated survival probability is not close to 1. However, the problem of poor tail performance exists due to the limitation of the proposed variance estimators. We further analyze an AIDS blood transfusion sampl

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36

Bury, Samuel Gary. "The Estimation of the RapidScat Spatial Response Function." BYU ScholarsArchive, 2018. https://scholarsarchive.byu.edu/etd/6797.

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RapidScat is a pencil-beam wind scatterometer which operated from September 2014 to August 2016. Mounted aboard the International Space Station (ISS), RapidScat experiences significant altitude and attitude variations over its dataset. These variations need to be properly accounted for to ensure accurate calibration and to produce high resolution scatterometer images. Both the antenna pose and the one-way antenna pattern need to be validated. The spatial response function (SRF) is the two-way antenna pattern for a scatterometer combined with the processing and filtering done in the radar syste

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37

Lin, Huey-Shyan, and 林惠賢. "Estimating the Number of Species via Matingale Estimating Function." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/76229192223030643651.

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38

Tsai, Shu-Jane, and 蔡淑貞. "Wavelets in Estimating Smooth Function." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/56261501731366539447.

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39

Huang, Hsu-Pang, and 黃旭邦. "Estimating the Number of Population via Matingale Estimating Function in Countinuous Time." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/36120523705143432221.

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40

Huang, Xu-Bang, and 黃旭邦. "Estimating the Number of Population via Matingale Estimating Function in Countinuous Time." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/72000746060389566872.

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41

Kuang-Chen, Hsiao. "ON ESTIMATING REGRESSION FUNCTION WITH CHANGE POINTS." 2005. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-0607200503585200.

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Hsiao, Kuang-Chen, and 蕭光呈. "ON ESTIMATING REGRESSION FUNCTION WITH CHANGE POINTS." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/93209714801005389344.

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碩士<br>國立臺灣大學<br>數學研究所<br>93<br>Local polynomial fitting has been known as a powerful nonparametric regression method when dealing with correlated data and when trying to find implicit connections between variables. This method relaxes assumptions on the form of the regression function under investigation. Nevertheless, when we try fitting a regression curve with precipitous changes using general local polynomial method, the fitted curve is oversmoothed near points where the true regression function has sharp features. Since local polynomial modelling is fitting a "polynomial", a continuous and

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43

Siou, Zeng Yi, and 曾怡琇. "Estimating Linear Regression Using Integrated Likelihood Function." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/73370160829649554047.

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碩士<br>東海大學<br>統計學系<br>101<br>In linear regression modeling, the method of least squares is a general way to find the optimal linear relation of a dependent variable and multiple independent variables (covariates) provided that the covariates are assumed to be given or deterministic to the model. In practice, the covariates can be collected from real data sources and by natural follow some distributions. The ordinary least square estimates can be less efficient if the covariates are stochastic. In this study, we propose a new method to estimate the regression. We estimate the parameters by maxi

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44

WENG, HONG-MING, and 翁宏明. "Estimating the distribution function of a symmetric distribution." Thesis, 1991. http://ndltd.ncl.edu.tw/handle/88754651802105097413.

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45

Castro, Inês Maria Lucas Crista de Sousa. "Estimating residual Kidney function: present and future challenge." Master's thesis, 2019. https://hdl.handle.net/10216/121364.

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46

Castro, Inês Maria Lucas Crista de Sousa. "Estimating residual Kidney function: present and future challenge." Dissertação, 2019. https://hdl.handle.net/10216/121364.

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47

Jie, Lin Zhe, and 林哲頡. "Estimating Time Series Regression Using Integrated Likelihood Function." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/42050102018910577968.

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碩士<br>東海大學<br>統計學系<br>101<br>The time series regression provides an explicit analysis, in which one time series (dependent variable) can be expressed linearly related to other time series variables (covariates), and often errors of the model are possibly correlated or simply white noises. The method of least squares is a naive approach to estimate the regression conditioned on the covariates. When the covariates are non-Gaussian stochastic time series, the least square estimators may not be quite efficient. We propose a new method taking into account the distribution properties. We estimate th

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48

Weng, Cheng-Hsuan, and 翁正軒. "Method of Estimating the Atrial Function and Wall Motion." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/90710561450142136606.

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碩士<br>中原大學<br>醫學工程研究所<br>96<br>Atrial fibrillation is caused by the disorderly action voltage which generates by sinoatrial node in the atrium. Some of the excited cardiac muscle patterns are re-stimulated by the recurrent impulse which makes the left atrium contract irregularly. As the heartbeat goes by, these cardiac patterns change can be taken down immediately by the CT scan. With the various time of CT images, we can analyze the abnormal rhythmic wall motion of heart chamber. For calculation of wall motion, reference which being a fixed figure in different time of CT image series must be

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49

"A data-driven bandwidth selector for estimating conditional density function." 2003. http://library.cuhk.edu.hk/record=b5891506.

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Yim Tsz-ho.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2003.<br>Includes bibliographical references (leaves 47-49).<br>Abstracts in English and Chinese.<br>Abstract --- p.i<br>Acknowledgement --- p.iii<br>Chapter 1 --- Introduction --- p.1<br>Chapter 2 --- Local Polynomial Modeling --- p.4<br>Chapter 2.1 --- Local Polynomial Fitting --- p.4<br>Chapter 2.1.1 --- Methodology --- p.4<br>Chapter 2.1.2 --- The kernel K --- p.6<br>Chapter 2.1.3 --- The bandwidth h --- p.7<br>Chapter 2.1.4 --- The order p --- p.10<br>Chapter 2.2 --- Estimation of Conditional Density --- p.11<br>C

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50

Van, Deventer Hendrick Emanuel. "Estimating glomerular filtration rate in black South Africans." Thesis, 2010. http://hdl.handle.net/10539/7996.

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MMed, Chemical Pathology, Faculty of health Sciences, University of the Witwatersrand, 2009<br>Background The 4-variable Modification of Diet in Renal Disease (4-v MDRD) and Cockcroft-Gault (CG) equations are commonly used for estimating glomerular filtration rate (GFR); however, neither of these equations has been validated in an indigenous African population. The aim of this study was to evaluate the performance of the 4-v MDRD and CG equations for estimating GFR in black South Africans against measured GFR and to assess the appropriateness for the local population of the ethnicit

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