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    <title>ЭБ Коллекция:</title>
    <link>https://elib.bsu.by:443/handle/123456789/93479</link>
    <description />
    <pubDate>Mon, 20 Apr 2026 09:31:05 GMT</pubDate>
    <dc:date>2026-04-20T09:31:05Z</dc:date>
    <item>
      <title>Estimation of the Shape Parameter of the Gamma Distribution</title>
      <link>https://elib.bsu.by:443/handle/123456789/93488</link>
      <description>Заглавие документа: Estimation of the Shape Parameter of the Gamma Distribution
Авторы: Zaihraiev, O.; Podraza-Karakulska, A.
Аннотация: The problem of estimation of an unknown shape parameter under the sample&#xD;
drawn from the gamma distribution, where the scale parameter is also unknown,&#xD;
is considered. A new estimator, called the maximum likelihood scale invariant&#xD;
estimator, is proposed. It is established that the mean square error of this estimator&#xD;
is less than that of the usual maximum likelihood estimator. The asymptotics&#xD;
of the mean square error of the new estimator is also obtained.</description>
      <pubDate>Mon, 01 Jan 2007 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://elib.bsu.by:443/handle/123456789/93488</guid>
      <dc:date>2007-01-01T00:00:00Z</dc:date>
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    <item>
      <title>Robust 2LS-Estimator for Nonlinear SEM-Model</title>
      <link>https://elib.bsu.by:443/handle/123456789/93487</link>
      <description>Заглавие документа: Robust 2LS-Estimator for Nonlinear SEM-Model
Авторы: Staleuskaya, S.
Аннотация: Traditional estimators of parameters of simultaneous equations models are based on&#xD;
the least squares method. This estimators have good statistical properties under hypothetical&#xD;
assumptions. Unfortunately, in practice the hypothetical assumptions are&#xD;
often broken. Following [3, 4], distortions can be classified into two main categories,&#xD;
namely gross errors and distortions due to the model failure.</description>
      <pubDate>Mon, 01 Jan 2007 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://elib.bsu.by:443/handle/123456789/93487</guid>
      <dc:date>2007-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Robust Bayesian Multivariate Forecasting under Distortions of Prior Densities in the Chi-Square Metric</title>
      <link>https://elib.bsu.by:443/handle/123456789/93486</link>
      <description>Заглавие документа: Robust Bayesian Multivariate Forecasting under Distortions of Prior Densities in the Chi-Square Metric
Авторы: Shlyk, P. A.; Kharin, A. Yu.
Аннотация: This paper investigates robustness of the multivariate Bayesian forecasting&#xD;
model under the chi-square metric distortions of priors. The explicit form for&#xD;
the guaranteed upper risk is obtained and an integral equation for the robust&#xD;
prediction statistics is given.</description>
      <pubDate>Mon, 01 Jan 2007 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://elib.bsu.by:443/handle/123456789/93486</guid>
      <dc:date>2007-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Classification of Autoregressive Time Series under “Outliers”</title>
      <link>https://elib.bsu.by:443/handle/123456789/93485</link>
      <description>Заглавие документа: Classification of Autoregressive Time Series under “Outliers”
Авторы: Pirshtuk, I. K.
Аннотация: The problem of robust classification of autoregressive time series under “outliers”&#xD;
considered and the asymptotic expansion of the risk of classification is&#xD;
constructed in the paper.</description>
      <pubDate>Mon, 01 Jan 2007 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://elib.bsu.by:443/handle/123456789/93485</guid>
      <dc:date>2007-01-01T00:00:00Z</dc:date>
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