Search Results - (( time estimation _ algorithm ) OR ( property distribution some algorithm ))*

Refine Results
  1. 1

    Some families of count distributions for modelling zero-inflation and dispersion / Low Yeh Ching by Low, Yeh Ching

    Published 2016
    “…Some of the theoretical properties of the distributions are derived and the distributions' characteristics are studied. …”
    Get full text
    Get full text
    Thesis
  2. 2

    A simulation study of a parametric mixture model of three different distributions to analyze heterogeneous survival data by Mohammed, Yusuf Abbakar, Yatim, Bidin, Ismail, Suzilah

    Published 2013
    “…In this paper a simulation study of a parametric mixture model of three different distributions is considered to model heterogeneous survival data.Some properties of the proposed parametric mixture of Exponential, Gamma and Weibull are investigated.The Expectation Maximization Algorithm (EM) is implemented to estimate the maximum likelihood estimators of three different postulated parametric mixture model parameters.The simulations are performed by simulating data sampled from a population of three component parametric mixture of three different distributions, and the simulations are repeated 10, 30, 50, 100 and 500 times to investigate the consistency and stability of the EM scheme.The EM Algorithm scheme developed is able to estimate the parameters of the mixture which are very close to the parameters of the postulated model.The repetitions of the simulation give parameters closer and closer to the postulated models, as the number of repetitions increases, with relatively small standard errors.…”
    Get full text
    Get full text
    Get full text
    Article
  3. 3

    Statistical modelling of time series of counts for a new class of mixture distributions / Khoo Wooi Chen by Khoo, Wooi Chen

    Published 2016
    “…The iv score functions and information matrix have been derived to measure the asymptotic standard errors and to analyze the variance-covariance relationship among the parameters. Parameter estimation with the maximum likelihood estimation via the Expectation-Maximization algorithm is discussed and compared with the conditional least squares method. …”
    Get full text
    Get full text
    Thesis
  4. 4

    Channel Modeling and Direction-of-Arrival Estimation in Mobile Multiple-Antenna Communication Systems by Ravari, Arastoo Rostami

    Published 2005
    “…Low-complexity spectral-based estimators are used for the estimation of direction and spatial spread of the distributed source by employing the proposed channel model for simulation. …”
    Get full text
    Get full text
    Thesis
  5. 5

    Development of real-time pose estimation algorithm for Quranic Arabic word by Mohd Esa, Luqman Naim, Morshidi, Malik Arman, Mohd Zailani, Syarah Munirah

    Published 2017
    “…Performance of each algorithm is measured in real-time through inlier to keypoint ratio which determines pose accuracy.…”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  6. 6

    LASSO-type estimations for threshold autoregressive and heteroscedastic time series models. by Muhammad Jaffri Mohd Nasir

    Published 2020
    “…In this thesis, we propose Least Absolute Shrinkage and Selection Operator (LASSO) type estimators to perform simultaneous parameter estimation and model selection for five specific univariate and multivariate time series models, and develop several algorithms to compute these estimators. …”
    Get full text
    Get full text
    UMK Etheses
  7. 7

    Semiparametric inference procedure for the accelarated failure time model with interval-censored data by Karimi, Mostafa

    Published 2019
    “…A computationally simple two-step iterative algorithm, called estimationapproximation algorithm, is introduced for estimating the parameters of the model on the basis of the rank estimators. …”
    Get full text
    Get full text
    Get full text
    Thesis
  8. 8

    Hybrid FFT-ADALINE algorithm with fast estimation of harmonics in power system by Goh, Zai Peng, Mohd Radzi, Mohd Amran, Thien, Yee Von, Hizam, Hashim, Abdul Wahab, Noor Izzri

    Published 2016
    “…In the proposed method, both of the aforementioned algorithms are combined for harmonic estimation where it is able to respond immediately to any change of the measured harmonics and the settling time is reduced to half cycle of the measurement signal. …”
    Get full text
    Get full text
    Get full text
    Article
  9. 9

    Fast adaptive motion estimation search algorithm for H.264 encoder by Patwary, Md Anwarul Kaium

    Published 2012
    “…Furthermore this study presents an analysis of the performance of the proposed algorithm in terms of motion estimation time, total encoding time, video quality (PSNR), and bit rate. …”
    Get full text
    Get full text
    Thesis
  10. 10

    Performance of MIMO space-time coded system and training based channel estimation for MIMO-OFDM system by Abdolee, Reza

    Published 2006
    “…At the next stage of the project, the effect of channel estimation algorithm on performance of MIMO-OFDM system was investigated. …”
    Get full text
    Get full text
    Thesis
  11. 11

    Time Difference Of Arrival Estimation Using Fast Fourier Transform Overlap For Underwater Positioning by Tan, Chee Sheng

    Published 2019
    “…Experimental results are presented to demonstrate the capabilities of the proposed algorithms. The results indicate that the proposed FFT with 100% overlap has successfully improved an accuracy with percentage error of 1.71% for the TDOA estimation. …”
    Get full text
    Get full text
    Thesis
  12. 12

    An improved Multipath Estimating Delay-Lock-Loop method based on Teager-Kaiser operator by Fa, Ji Yuan, Jie, Tian Lian, Yan, Sun Xi, Suqing, Yan, Kamarul Hawari, Ghazali, Khatuni, S.

    Published 2018
    “…One of the key multipath mitigation algorithms is Multipath Estimating DelayLock-Loop (MEDLL), which suffers from large amount of computational complexity, poor real-time performance and error accumulation. …”
    Get full text
    Get full text
    Get full text
    Article
  13. 13

    Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence by S. S. S. , Ranjit

    Published 2011
    “…Block-matching algorithm is the most common technique applied in block-based motion estimation technique. …”
    Get full text
    Get full text
    Get full text
    Book Chapter
  14. 14

    Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems by Kek, Sie Long

    Published 2011
    “…This thesis describes the development of an efficient algorithm for solving nonlinear stochastic optimal control problems in discrete-time based on the principle of model-reality differences. …”
    Get full text
    Get full text
    Thesis
  15. 15

    On time-domain OFDM channel estimation: Use of pilots correlation for digital video broadcasting (DVB) cable receiver by Khan, A.M., Jeoti, V.

    Published 2015
    “…In this paper, an improved OFDM time domain channel estimation algorithm is proposed for (DVB) Cable receivers. …”
    Get full text
    Get full text
    Article
  16. 16

    Parameter estimation of cocomo model using the jaya algorithm for software cost estimation by Tan, Jie Chee

    Published 2019
    “…In conclusion, the JA suitable to evaluate the estimation effort and time for the COCOMO model.…”
    Get full text
    Get full text
    Undergraduates Project Papers
  17. 17

    Processing time estimation in precision machining industry using AI / Lim Say Li by Lim, Say Li

    Published 2017
    “…The objectives of this project are to design a system for processing time estimation, to estimate the processing time required for specific machining process and to verify the accuracy of processing time estimation. …”
    Get full text
    Get full text
    Thesis
  18. 18
  19. 19

    Simulated Kalman Filter algorithms for solving optimization problems by Nor Hidayati, Abdul Aziz

    Published 2019
    “…These algorithms are inspired by the estimation capability of the well-known Kalman filter estimation method. …”
    Get full text
    Get full text
    Thesis
  20. 20

    Kernel and multi-class classifiers for multi-floor wlan localisation by Abd Rahman, Mohd Amiruddin

    Published 2016
    “…The multi-class classification strategy is used to ensure quick estimation of the multi-class NN algorithms. All of the algorithms are later combined to provide device location estimation for multi-floor environment. …”
    Get full text
    Get full text
    Thesis