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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "https://jats.nlm.nih.gov/publishing/1.3/JATS-journalpublishing1-3.dtd">
<article article-type="research-article" dtd-version="1.3" xml:lang="en">
  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>St. Petersburg Polytechnic University Journal: Physics and Mathematics</journal-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Научно-технические ведомости СПбГПУ. Физико-математические науки</trans-title>
        </trans-title-group>
      </journal-title-group>
      <issn pub-type="epub">2304-9782, 2618-8686, 2405-7223</issn>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">22</article-id>
      <title-group>
        <article-title>Characteristics of parameter estimates for random harmonic noised process</article-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Характеристики оценок параметров зашумленного гармонического процесса</trans-title>
        </trans-title-group>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Zvyagin</surname>
            <given-names>Petr</given-names>
          </name>
          <email>p_zvyagin@bk.ru</email>
        </contrib>
      </contrib-group>
      <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2012-12-10">
        <day>10</day>
        <month>12</month>
        <year>2012</year>
      </pub-date>
      <issue>4</issue>
      <issue-id pub-id-type="publisher-id">158</issue-id>
      <fpage>135</fpage>
      <lpage>139</lpage>
      <abstract xml:lang="en">
        <p>In the paper the variance of parameter estimates for random harmonic noised process with discrete time has been investigated. For the case when noise is represented by mutually independent random variables with equal variance, the linear dependence between the variance of the noise and the variance of parameter estimates was proved. This dependence was described by formulas. For the case of low frequencies the function approximation was suggested.</p>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>regression analysis</kwd>
        <kwd>random harmonic processes</kwd>
        <kwd>noise variance</kwd>
        <kwd>method of least squares</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
