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  1. Weighted Probability Density Estimator with Updated Bandwidths

    In this paper, the authors study a class of weighted version of probability density estimator. It is shown that the weighted estimator contains some...

    Yi Wu, Wei Yu, ... B. L. S. Prakasa Rao in Journal of Systems Science and Complexity
    Article 25 March 2024
  2. Asymptotic normality of error density estimator in stationary and explosive autoregressive models

    In this paper, we consider the limit distribution of the error density function estimator in the first-order autoregressive models with negatively...

    Shi-peng Wu, Wen-zhi Yang, ... Shu-he Hu in Applied Mathematics-A Journal of Chinese Universities
    Article 08 March 2024
  3. Extention of Relative-Risk Power Estimator Under Dependent Random Censored Data

    In this paper, the considered problem consists in estimation of the conditional survival function by right random censoring model in the presence of...

    A. A. Abdushukurov in Journal of Mathematical Sciences
    Article 31 January 2024
  4. A pseudo-likelihood estimator of the Ornstein–Uhlenbeck parameters from suprema observations

    In this paper, we propose an estimator for the Ornstein–Uhlenbeck parameters based on observations of its supremum. We derive an analytic expression...

    Christophette Blanchet-Scalliet, Diana Dorobantu, Benoit Nieto in Statistical Inference for Stochastic Processes
    Article 26 February 2024
  5. Improved population mean estimator with exponential function under non-response

    In this article, we consider a new family of exponential type estimators for estimating the unknown population mean of the study variable. We propose...

    Article 18 December 2023
  6. Asymptotic expansion of an estimator for the Hurst coefficient

    Asymptotic expansion is presented for an estimator of the Hurst coefficient of a fractional Brownian motion. We first derive the expansion formula of...

    Yuliya Mishura, Hayate Yamagishi, Nakahiro Yoshida in Statistical Inference for Stochastic Processes
    Article Open access 25 September 2023
  7. A New Estimator for Estimating Population Mean Using Two Auxiliary Attributes in Stratified Random Sampling

    Abstract

    In this paper, we propose an efficient estimator for the estimation of population mean using the information of the two auxiliary attributes...

    Ashish Kumar, Bhatt Ravi Jitendrakumar, ... Monika Saini in Lobachevskii Journal of Mathematics
    Article 01 September 2023
  8. Determination of Population Mean Using Neutrosophic, Exponential-Type Estimator

    Abstract

    When, there is an ambiguity in the data, the classical statistics fails which only dealt with crisp, precise or determinate sorts of data to...

    S. Kumar, S. P. Kour, ... V. Sharma in Lobachevskii Journal of Mathematics
    Article 01 November 2022
  9. An estimator for the recombination rate from a continuously observed diffusion of haplotype frequencies

    Recombination is a fundamental evolutionary force, but it is difficult to quantify because the effect of a recombination event on patterns of...

    Robert C. Griffiths, Paul A. Jenkins in Journal of Mathematical Biology
    Article Open access 26 May 2023
  10. Semi-Parametric Estimator of the Quantile in an Informative Model of Random Censoring

    In the informative model of competing risks, an estimator for the quantile function is constructed with the use of the semi-parametrical power...

    A. A. Abdushukurov, F.M. Holmurodov in Journal of Mathematical Sciences
    Article 10 October 2022
  11. Density Power Divergence Estimator for General Integer-Valued Time Series with Exogenous Covariates

    In this article, we study a robust estimation method for a general class of integer-valued time series models. The conditional distribution of the...

    Mamadou Lamine Diop, William Kengne in Communications in Mathematics and Statistics
    Article 25 September 2023
  12. Large deviation inequalities of Bayesian estimator in nonlinear regression models

    In the present paper, we establish some large deviation inequalities of the Bayesian estimator for the nonlinear regression model under the...

    Article 29 October 2022
  13. Gradient recovery based a posteriori error estimator for the adaptive direct discontinuous Galerkin method

    In this paper, we propose a gradient recovery method for the direct discontinuous Galerkin (DDG) method. A quadratic polynomial is obtain by using...

    Huihui Cao, Yunqing Huang, Nianyu Yi in Calcolo
    Article 26 February 2023
  14. An estimator for matching size in low arboricity graphs with two applications

    In this paper, we present a new degree-based estimator for the size of maximum matching in bounded arboricity graphs. When the arboricity of the...

    Article 28 November 2022
  15. A Data-Driven Wavelet Estimator For Deconvolution Density Estimations

    This current paper provides a data-driven wavelet estimator for deconvolution density model. Moreover, we investigate the totally adaptive...

    Kaikai Cao, **aochen Zeng in Results in Mathematics
    Article 03 June 2023
  16. Ratio cum product-type exponential estimator in double sampling for stratification of finite population mean

    In this paper we have suggested an exponential estimator of ratio cum product-type for finite population mean in double sampling for stratification....

    Housila P. Singh, Pragati Nigam in Afrika Matematika
    Article 07 July 2022
  17. Generalized estimator for computation of population mean under neutrosophic ranked set technique: An application to solar energy data

    Classical statistics is used so far deals with crisp or determinate types of data only but it fails if there is uncertainty in data. Neutrosophic...

    Gajendra K. Vishwakarma, Abhishek Singh in Computational and Applied Mathematics
    Article 18 April 2022
  18. Goodness-of-Fit Test Based on an Unbiased Estimator of the Distribution Function in the Case of Exponential Distribution

    For exponential distribution, a modification of the Kolmogorov goodness-of-fit test is considered. This modification consists in the replacement of...

    Article 10 October 2022
  19. Asymptotic Normality of the Deconvolution Kernel Density Estimator based on Independent Right Censored Data

    We consider estimation of a density when observed lifetime from the convolution model is contaminated by additive measurement errors. A kernel type...

    Wenqing Zhu, Shan Sun, ... Hrishabh Khakurel in La Matematica
    Article 24 February 2022
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