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Maximum Penalized Likelihood Estimation
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Book Synopsis Maximum Penalized Likelihood Estimation by : P.P.B. Eggermont
Download or read book Maximum Penalized Likelihood Estimation written by P.P.B. Eggermont and published by Springer Nature. This book was released on 2020-12-15 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with parametric and nonparametric density estimation from the maximum (penalized) likelihood point of view, including estimation under constraints. The focal points are existence and uniqueness of the estimators, almost sure convergence rates for the L1 error, and data-driven smoothing parameter selection methods, including their practical performance. The reader will gain insight into technical tools from probability theory and applied mathematics.
Book Synopsis Maximum Penalized Likelihood Estimation by : Paul P. Eggermont
Download or read book Maximum Penalized Likelihood Estimation written by Paul P. Eggermont and published by Springer. This book was released on 2011-12-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unique blend of asymptotic theory and small sample practice through simulation experiments and data analysis. Novel reproducing kernel Hilbert space methods for the analysis of smoothing splines and local polynomials. Leading to uniform error bounds and honest confidence bands for the mean function using smoothing splines Exhaustive exposition of algorithms, including the Kalman filter, for the computation of smoothing splines of arbitrary order.
Book Synopsis Maximum Penalized Likelihood Estimation by : Paul P. Eggermont
Download or read book Maximum Penalized Likelihood Estimation written by Paul P. Eggermont and published by Springer. This book was released on 2011-12-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unique blend of asymptotic theory and small sample practice through simulation experiments and data analysis. Novel reproducing kernel Hilbert space methods for the analysis of smoothing splines and local polynomials. Leading to uniform error bounds and honest confidence bands for the mean function using smoothing splines Exhaustive exposition of algorithms, including the Kalman filter, for the computation of smoothing splines of arbitrary order.
Book Synopsis Maximum Penalized Likelihood Estimation by : P.P.B. Eggermont
Download or read book Maximum Penalized Likelihood Estimation written by P.P.B. Eggermont and published by Springer. This book was released on 2001-06-21 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with parametric and nonparametric density estimation from the maximum (penalized) likelihood point of view, including estimation under constraints. The focal points are existence and uniqueness of the estimators, almost sure convergence rates for the L1 error, and data-driven smoothing parameter selection methods, including their practical performance. The reader will gain insight into technical tools from probability theory and applied mathematics.
Book Synopsis Maximum Penalized Likelihood Estimation by : P.P.B. Eggermont
Download or read book Maximum Penalized Likelihood Estimation written by P.P.B. Eggermont and published by Springer. This book was released on 2001-06-21 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with parametric and nonparametric density estimation from the maximum (penalized) likelihood point of view, including estimation under constraints. The focal points are existence and uniqueness of the estimators, almost sure convergence rates for the L1 error, and data-driven smoothing parameter selection methods, including their practical performance. The reader will gain insight into technical tools from probability theory and applied mathematics.
Book Synopsis Adaptive Maximum Penalized Likelihood Estimation by : Tyler Shumway
Download or read book Adaptive Maximum Penalized Likelihood Estimation written by Tyler Shumway and published by . This book was released on 1991 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Maximum Penalized Likelihood Estimation by : P.P.B. Eggermont
Download or read book Maximum Penalized Likelihood Estimation written by P.P.B. Eggermont and published by Springer. This book was released on 2010-12-03 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with parametric and nonparametric density estimation from the maximum (penalized) likelihood point of view, including estimation under constraints. The focal points are existence and uniqueness of the estimators, almost sure convergence rates for the L1 error, and data-driven smoothing parameter selection methods, including their practical performance. The reader will gain insight into technical tools from probability theory and applied mathematics.
Book Synopsis Maximum Penalized Likelihood Estimation by : P.P.B. Eggermont
Download or read book Maximum Penalized Likelihood Estimation written by P.P.B. Eggermont and published by Springer. This book was released on 2001-06-21 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with parametric and nonparametric density estimation from the maximum (penalized) likelihood point of view, including estimation under constraints. The focal points are existence and uniqueness of the estimators, almost sure convergence rates for the L1 error, and data-driven smoothing parameter selection methods, including their practical performance. The reader will gain insight into technical tools from probability theory and applied mathematics.
Book Synopsis Maximum Penalized Likelihood Estimation by : Paul P. Eggermont
Download or read book Maximum Penalized Likelihood Estimation written by Paul P. Eggermont and published by Springer Science & Business Media. This book was released on 2009-06-02 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unique blend of asymptotic theory and small sample practice through simulation experiments and data analysis. Novel reproducing kernel Hilbert space methods for the analysis of smoothing splines and local polynomials. Leading to uniform error bounds and honest confidence bands for the mean function using smoothing splines Exhaustive exposition of algorithms, including the Kalman filter, for the computation of smoothing splines of arbitrary order.
Book Synopsis Nonparametric Maximum Penalized Likelihood Estimation of Lifetime Density Functions by : André Michelle Lubecke
Download or read book Nonparametric Maximum Penalized Likelihood Estimation of Lifetime Density Functions written by André Michelle Lubecke and published by . This book was released on 1985 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Maximum Likelihood Estimation by : Scott R. Eliason
Download or read book Maximum Likelihood Estimation written by Scott R. Eliason and published by SAGE. This book was released on 1993 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a short introduction to Maximum Likelihood (ML) Estimation. It provides a general modeling framework that utilizes the tools of ML methods to outline a flexible modeling strategy that accommodates cases from the simplest linear models (such as the normal error regression model) to the most complex nonlinear models linking endogenous and exogenous variables with non-normal distributions. Using examples to illustrate the techniques of finding ML estimators and estimates, the author discusses what properties are desirable in an estimator, basic techniques for finding maximum likelihood solutions, the general form of the covariance matrix for ML estimates, the sampling distribution of ML estimators; the use of ML in the normal as well as other distributions, and some useful illustrations of likelihoods.
Book Synopsis Maximum Penalized Likelihood Estimation by : Shih-hung Yü
Download or read book Maximum Penalized Likelihood Estimation written by Shih-hung Yü and published by . This book was released on 1997 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Maximum Likelihood Estimation for Sample Surveys by : Raymond L. Chambers
Download or read book Maximum Likelihood Estimation for Sample Surveys written by Raymond L. Chambers and published by CRC Press. This book was released on 2012-05-02 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sample surveys provide data used by researchers in a large range of disciplines to analyze important relationships using well-established and widely used likelihood methods. The methods used to select samples often result in the sample differing in important ways from the target population and standard application of likelihood methods can lead to
Book Synopsis Nonparametric Maximum Penalized Likelihood Estimation of a Density from Arbitrarily Right-Censored Observations by : A. M. Lubecke
Download or read book Nonparametric Maximum Penalized Likelihood Estimation of a Density from Arbitrarily Right-Censored Observations written by A. M. Lubecke and published by . This book was released on 1984 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on arbitrarily right-censored observations from a probability density function f deg the existence and uniqueness of the maximum penalized likelihood estimator (MPLE) of f deg is proven. In particular, the first MPLE of Good and Gaskins of a density defined on (0, infinity) is shown to exist and to be unique under arbitrary right-censorship. Furthermore, the MPLE is in the form of a solution to a linear integral equation. (Author).
Book Synopsis Penalized Likelihood Estimation for Censored Data Models and Investigation of Likelihood Method for Nonignorably Missing Data by : Akiko Okamoto
Download or read book Penalized Likelihood Estimation for Censored Data Models and Investigation of Likelihood Method for Nonignorably Missing Data written by Akiko Okamoto and published by . This book was released on 1997 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Adjusted Maximum Likelihood Estimation of the Moments of Lognormal Populations from Type 1 Censored Samples by : Timothy A. Cohn
Download or read book Adjusted Maximum Likelihood Estimation of the Moments of Lognormal Populations from Type 1 Censored Samples written by Timothy A. Cohn and published by . This book was released on 1988 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Penalized Joint Maximum Likelihood Estimation Applied to Two Parameter Logistic Item Response Models by : Jon-Paul Noel Paolino
Download or read book Penalized Joint Maximum Likelihood Estimation Applied to Two Parameter Logistic Item Response Models written by Jon-Paul Noel Paolino and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: However, when the IRT datasets contained more examinees than items Bayesian estimation clearly outperformed both penalized joint maximum likelihood estimation and marginal maximum likelihood.
