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    <p>Dear all,</p>
    <p>On Thursday (7 March) at 2pm in <span class="event-where">54 /
        7035 (7B), we have an S3RI seminar from </span><span
        role="heading" id="rAECCd">Maria Dolores Jimenez-Gamero
        (University of Seville)</span><span class="event-where"> on </span><span
        class="event-where"><span class="event-description">"</span></span><span
        class="event-where"><span class="event-description"><span
            class="event-description"><span class="ynRLnc"></span>Goodness-of-fit
            tests based on the characteristic function</span>". Details
          are given below.<br>
        </span></span></p>
    <p><span class="event-where"><span class="event-description"><span><span
              class="event-description">The talk will be followed by tea
              and cake in the staff reading room on level 4 of building
              54. </span></span></span></span></p>
    <p><span class="event-where"><span class="event-description"><span><span
              class="event-description">All are welcome!</span></span></span></span></p>
    <p><span class="event-where"><span class="event-description"><span>Best
            wishes,</span></span></span></p>
    <p><span class="event-where"><span class="event-description"><span>Helen</span></span></span></p>
    <p><span class="event-where"><span class="event-description"><span><br>
          </span></span></span></p>
    <p>Goodness-of-fit tests based on the characteristic function <br>
    </p>
    <p>Maria Dolores Jimenez-Gamero, University of Seville <br>
    </p>
    <p>A classical problem in Statistics is that of checking if the law
      of the data belongs to a certain parametric family of
      distributions (the null hypothesis), which is usually called the
      goodness-of-fit (GoF) problem. A usual strategy to test GoF
      consists in comparing a nonparametric estimator of a function
      characterizing the data distribution to a parametric estimator of
      such function, constructed by assuming that the null hypothesis is
      true. A common choice for that function is the distribution
      function, although other choices are possible. In this talk, we
      review GoF tests based on the characteristic function, putting
      special emphasis on testing normality.</p>
    <br>
    <span class="event-where"><span class="event-description"><span><span
            class="event-description"><span> <span
                class="event-description"> </span><span
                class="event-description"><span
                  class="event-description">For the current schedule of
                  S3RI seminars, see <a class="moz-txt-link-freetext"
                    href="https://tinyurl.com/s3riseminar">https://tinyurl.com/s3riseminar</a>
                </span></span></span></span></span></span></span><br>
    <p><span class="event-where"><span class="event-description"><span><span
              class="event-description"></span></span></span></span></p>
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