Showing 181 - 200 results of 471 for search '"maximum likelihood"', query time: 0.05s Refine Results
  1. 181

    Estimating the Proportion of True Null Hypotheses in Multiple Testing Problems by Oluyemi Oyeniran, Hanfeng Chen

    Published 2016-01-01
    “…In this article, we develop an innovative nonparametric maximum likelihood approach to estimate π0. The nonparametric likelihood is proposed to be restricted to multinomial models and an EM algorithm is also developed to approximate the estimate of π0. …”
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    Article
  2. 182

    Computational Procedure of Performance Assessment of Lifetime Index of Products for the Weibull Distribution with the Progressive First-Failure-Censored Sampling Plan by Ching-Wen Hong, Wen-Chuan Lee, Jong-Wuu Wu

    Published 2012-01-01
    “…This study will apply the large-sample theory to construct a maximum likelihood estimator (MLE) of CL with the progressive first-failure-censored sampling plan under the Weibull distribution. …”
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  3. 183

    Two-Step Frequency Estimation of GNSS Signal in High-Dynamic Environment by Chao Wu, Yafeng Li, Liyan Luo, Jian Xie, Ling Wang

    Published 2022-01-01
    “…In the second step, the maximum likelihood estimation process (MLEP) is adopted for fine MF estimation. …”
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    Article
  4. 184

    SATELLITE-BASED MULTITEMPORAL CHANGE DETECTION IN IGNEADA FLOODED FORESTS by ALIYE GONCA BOZKAYA, FILIZ BEKTAS BALCIK, CIGDEM GOKSEL, AHMET OZGUR DOGRU, NESIBE NECLA ULUGTEKIN, SEVAL SOZEN

    Published 2014-12-01
    “…Change detection methodology of land use/land cover has four main stages: 1) Preprocessing of satellite images, 2) Classifying images using maximum likelihood method, 3) Accuracy assessment of the classification, 4) Comparing classified images in GIS environment and 5) Change detection.…”
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  5. 185

    Statistical ineffective fault analysis of the lightweight authenticated cipher algorithm Saturnin-Short by Wei LI, Chun LIU, Dawu GU, Wenqian SUN, Jianning GAO, Mengyang QIN

    Published 2023-04-01
    “…On the random single byte-oriented fault model and the assumption of ciphertext-only attack, a statistical ineffective fault analysis of the Saturnin-Short cipher was proposed.The analysis combined the statistical distribution with the ineffective analysis, and discussed the difference between intermediate states before and after fault injections.A variety of dual distinguishers was designed, such as the probabilistic symmetric Chi-square-maximum likelihood estimate, and harmonic mean-Hamming weight.It only required at least 1 097 ineffective faults to recover the 256 bit secret key with a success rate of at least 99%.The experimental results show that the proposed distinguishers can not only decrease fault injections, but also reduce the attacking time and complexities.Therefore, the Saturnin-Short cipher cannot resist against the statistical ineffective fault analysis.It provides an important reference for the security analysis of other lightweight authenticated ciphers.…”
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  6. 186

    Impossible statistical fault analysis of the PRIDE lightweight cryptosystem by Wei LI, Wenqian SUN, Dawu GU, Ailin ZHANG, Yunhua WEN

    Published 2024-01-01
    “…To analyze the implementation security of the PRIDE lightweight cryptosystem proposed at CRYPTO in 2014, a novel method of impossible statistical fault analysis on the ciphertext-only attack assumption was proposed.Furthermore, new distinguishers were designed, such as the Chi-square goodness-of-fit test-Hamming weight, and Chi-square goodness-of-fit test-maximum likelihood estimation.The proposed method had a random nibble-oriented fault model, and combined the statistical distribution states with the impossible relationship.On the difference among the intermediate states before and after the fault injections, at least 432 faults were required to recover the 128 bit secret key of PRIDE with a reliability of at least 99%.The experimental analysis demonstrates that the proposed method can not only reduce injected faults and latency, but also increase the accuracy.The results provide a vital reference for exploring the implementation security of lightweight cryptosystems.…”
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  7. 187

    General Results for the Transmuted Family of Distributions and New Models by Marcelo Bourguignon, Indranil Ghosh, Gauss M. Cordeiro

    Published 2016-01-01
    “…We estimate the model parameters of the family by the method of maximum likelihood. We prove empirically the flexibility of the proposed model by means of an application to a real data set.…”
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  8. 188

    An Improved Clutter Suppression Method for Weather Radars Using Multiple Pulse Repetition Time Technique by Yingjie Yu, Yong Li

    Published 2017-01-01
    “…The suppression method is constructed using maximum likelihood methodology in time domain and is called parametric time domain method (PTDM). …”
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  9. 189

    A SIC and ML approach for MIMO non-orthogonal multiple access signal detection by Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong

    Published 2025-02-01
    “…For the identification of signals in the 8 × 8, 16 × 16, 64 × 64 and 256 × 256 O-NOMA frameworks, we provide a Maximum Likelihood (ML) and Successive Interference cancellation (SIC) method in this paper. …”
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  10. 190

    Statistical Inferences of Burr XII Lifetime Models under Joint Type-1 Competing Risks Samples by Tahani A. Abushal, A. A. Soliman, G. A. Abd-Elmougod

    Published 2021-01-01
    “…So, under Type-I joint competing risks samples, we obtained the maximum likelihood (ML) and Bayes estimators. Interval estimation is discussed through asymptotic confidence interval, bootstrap confidence intervals, and Bayes credible interval. …”
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  11. 191

    Alpha Power Transformed Generalized Weibull Distribution With Its Detailed Properties and Applications by Merga Abdissa Aga, Ayele Taye Goshu

    Published 2024-01-01
    “…Parameter estimation is performed using the maximum likelihood method. Simulation studies and analysis of real datasets with the new APTGWD model demonstrate the distribution’s potential as an alternative for modeling lifetime and reliability data. …”
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  12. 192

    A New Probability Heavy-Tail Model for Stochastic Modeling under Engineering Data by M. El-Morshedy, M. S. Eliwa, Afrah Al-Bossly, Haitham M. Yousof

    Published 2022-01-01
    “…After studying and analyzing its mathematical properties, different classical estimation methods such as the ordinary least square, Cramér-von Mises, weighted least square, maximum likelihood, and Anderson–Darling estimation along with its corresponding left-tail and right-tail estimation methods are considered. …”
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  13. 193

    Reliability Evaluation of RV Reducers Based on Multi Degenerate Data by Li Jinfeng, Yang Yikun, Wang Xifeng, Yao Liangbo, Xiao Jianming

    Published 2023-05-01
    “…Aiming at the demand for reliability evaluation of RV reducers, the Gamma models, which can represent the performance degenerate process of reducers, are established respectively combining with transmission error data and backlash data of reducer performance degenerate test. A maximum likelihood estimation method is applied to estimate the parameters of degenerate models. …”
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  14. 194

    Comparison of Different Confidence Intervals under Type-I Censoring Scheme by Ali Algarni, Abdullah M. Almarashi, Debasis Kundu, G. A. Abd-Elmougod, Sayed Abdel-Khalek

    Published 2022-01-01
    “…The estimator with maximum likelihood method is obtained in an exact form and its distribution is also obtained with the unknown parameter. …”
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  15. 195

    Use of Directional Spectra for Detection of Engine Cylinder Power Fault by Chong-Won Lee, Yun-Sik Han, Jong-Po Park

    Published 1997-01-01
    “…As spectral estimators, the maximum likelihood and FFT methods are compared, and the multi-layer neural network is employed for pattern recognition. …”
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  16. 196

    Efficient keyword spotting system for information retrieval by LUO Jun, OU Zhi-jian

    Published 2006-01-01
    “…A new two-stage keyword spotting system was proposed based on syllable graph for audio information retrieval task,which could efficiently spot the interesting words in mass speech data,thus serve for the national security.It comprised two stages – preprocessing and searching.In the preprocessing stage,the audio data was recognized into syllable graph which included high accuracy syllable candidates,and unsupervised MLLR(maximum likelihood linear regression) adaptation was carried out iteratively to further improve the accuracy of the syllable graph.In the searching stage,to answer the frequent queries from users,searching for matched keywords was only scanned in the graph for likely syllable strings.A forward-backward algorithm based on syllable N-grammar was used to calculate confidence measures for further filtering of the searching result.Experimental results show the system achieved good performances in both recall rate and accuracy rate,and in the searching stage only 0.01 times of real time is needed,which can meet the demand for fast retrieval.…”
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  17. 197

    A New Generalization of the Lomax Distribution with Increasing, Decreasing, and Constant Failure Rate by Pelumi E. Oguntunde, Mundher A. Khaleel, Mohammed T. Ahmed, Adebowale O. Adejumo, Oluwole A. Odetunmibi

    Published 2017-01-01
    “…In this present study, the Lomax distribution was extended using the Gompertz family of distribution, its resulting densities and statistical properties were carefully derived, and the method of maximum likelihood estimation was proposed in estimating the model parameters. …”
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  18. 198

    Performance analysis and evaluation of a hybrid erasure error correction scheme in wireless real-time multicast systems by Guo-ping TAN, Li-zhong XU, Xi-jun YAN, Zai-jun HUA

    Published 2012-01-01
    “…In order to analyze and evaluate accurately the performance of erasure error correction (EEC) schemes in wireless real-time multicast (WRM) systems,A method which relying on the Gilbert-Elliot (GE) channel model and the practical experimental data was proposed.Namely,a closed-form expression for analyzing the performance of a hybrid EEC scheme over GE channel was contributed.Then,a validating and evaluating system w th real-time multicast services over WLAN was designed.Based on the system,the maximum likelihood estimation method was adopted for statistical evaluations.The results show that the GE model can match the practical erasure error channel accurately.Both the analysis results of the hybrid EEC scheme and the experimental lts are basically coincident,which validates the accuracy of the method.This method is of reference significance for analyzing and evaluating accurately all kinds of EEC schemes in WRM systems.…”
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  19. 199

    Keiferia azapaensis sp. nov., the first representative of the New World micromoth genus Keiferia Busck (Lepidoptera, Gelechiidae) associated with a member of Asteraceae by Héctor Vargas

    Published 2025-01-01
    “…Despite this unusual host plant, a Maximum Likelihood analysis, based on mitochondrial DNA sequences, placed the new species within a well-supported Keiferia clade. …”
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  20. 200

    Identification of three novel species and one new record of Kirschsteiniothelia (Kirschsteiniotheliaceae, Kirschsteiniotheliales) from Jiangxi, China by Xing-Xing Luo, Ming-Gen Liao, Ya-Fen Hu, Xiu-Guo Zhang, Zhao-Huan Xu, Jian Ma

    Published 2025-01-01
    “…Based on morphological examination and phylogenetic analyses of combined ITS, LSU, and SSU sequences data using maximum-likelihood and Bayesian inference, three new species of Kirschsteiniothelia, namely K. ganzhouensis, K. jiangxiensis, and K. jiulianshanensis, were introduced, and one known species, K. inthanonensis, was recorded for the first time from China. …”
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