Results 31 to 40 of about 199,140 (151)
Journal of Research in Medical Sciences, 2008 <p style="text-align: justify"><span>The present paper was to reduce biased estimation using new approach (Penalized Maximum Likelihood Estimation Method) in Logistic Regression. It was assumed in the present paper that four various data sets
Ecevit Eyduran
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Implementing and evaluating the nested maximum likelihood estimation technique [PDF]
Tutorials in Quantitative Methods for Psychology, 2007 Estimating parameters describing response time distributions is difficult. The most commonly used method for parameter estimation is the maximum likelihood method (ML).
Denis Cousineau
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On the Interpolating Family of Distributions
AxiomsA recent paper introduced the interpolating family (IF) of distributions, and they also derived various mathematical properties of the family. Some of the most important properties discussed were the integer order moments of the IF distributions.
Saralees Nadarajah, Idika E. Okorie
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Semidefinite Programming for Approximate Maximum Likelihood Sinusoidal Parameter Estimation
EURASIP Journal on Advances in Signal Processing, 2009 We study the convex optimization approach for parameter estimation of several sinusoidal models, namely, single complex/real tone, multiple complex sinusoids, and single two-dimensional complex tone, in the presence of additive Gaussian noise.
Kenneth W. K. Lui, H. C. So
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Maximum likelihood estimation in the non-ergodic fractional Vasicek model
Modern Stochastics: Theory and Applications, 2019 We investigate the fractional Vasicek model described by the stochastic differential equation $d{X_{t}}=(\alpha -\beta {X_{t}})\hspace{0.1667em}dt+\gamma \hspace{0.1667em}d{B_{t}^{H}}$, ${X_{0}}={x_{0}}$, driven by the fractional Brownian motion ${B^{H}}$
Stanislav Lohvinenko +1 more
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High Dynamic GPS Tracking Loop Based on Fast Maximum Likelihood Estimation [PDF]
Jisuanji gongcheng, 2016 In high dynamic environment,the Global Positioning System(GPS) software receiver has low tracking accuracy and is prone to loss of lock.To solve these problems,a high accuracy and fast tracking method based on Maximum Likelihood Estimation(MLE) is ...
YI Qingming,LUO Chong,SHI Min
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Maximum Trimmed Likelihood Estimation for Discrete Multivariate Vasicek Processes
EconomiesThe multivariate Vasicek model is commonly used to capture mean-reverting dynamics typical for short rates, asset price stochastic log-volatilities, etc.
Thomas M. Fullerton +3 more
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Maximum likelihood distance estimation algorithm for multi-carrier radar system
The Journal of Engineering, 2019 In this study, a maximum likelihood distance estimation algorithm is proposed for a multi-carrier radar system to estimate the time delay of non-integer sampling intervals. Particularly, the equivalent relationship between time domain delay and frequency
Yue Chen +4 more
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PINT: Maximum-likelihood Estimation of Pulsar Timing Noise Parameters
The Astrophysical JournalPINT is a pure-Python framework for high-precision pulsar timing developed on top of widely used and well-tested Python libraries, supporting both interactive and programmatic data analysis workflows. We present a new frequentist framework within PINT to
Abhimanyu Susobhanan +23 more
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Maximum Likelihood Blind Channel Estimation for Space-Time Coding Systems
EURASIP Journal on Advances in Signal Processing, 2002 Sophisticated signal processing techniques have to be developed for capacity enhancement of future wireless communication systems. In recent years, space-time coding is proposed to provide significant capacity gains over the traditional communication ...
Hakan A. Çırpan +2 more
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