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    <SEQUENTIAL>
      <record key="001" att1="001" value="182259" att2="182259">001   182259</record>
      <field key="037" subkey="x">englisch</field>
      <field key="050" subkey="x">Buch</field>
      <field key="076" subkey="">Sozialwissenschaft</field>
      <field key="100" subkey="">Lynch, Scott M.</field>
      <field key="103" subkey="">Department of Sociology and Office of Population Research, Princeton University</field>
      <field key="331" subkey="">Introduction to Applied Bayesian Statistics and Estimation for Social Scientists</field>
      <field key="403" subkey="">1. Ed.</field>
      <field key="410" subkey="">New York</field>
      <field key="412" subkey="">Springer Science and Business Media</field>
      <field key="425" subkey="">2010</field>
      <field key="433" subkey="">xxviii, 357 pp., 89 Fig.</field>
      <field key="451" subkey="">Statistics for Social and Behavioral Sciences</field>
      <field key="451" subkey="h">Fienberg, Stephen E. (Ed.) ; van der Linden, Wim J. (Ed.)</field>
      <field key="517" subkey="c">from the Table of Contents: Preface; Introduction; Probability Theory and Classical Statistics; Basics of Bayesian Statistics;</field>
      <field key="Mod" subkey="e">rn Model Estimation Part 1: Gibbs Sampling; Modern Model Estimation Part 2: Metropolis-Hastings Sampling; Evaluating Markov</field>
      <field key="Cha" subkey="i">n Monte Carlo Algorithms and Model Fit; The Linear Regression Model; Generalized Linear Models; Introduction to Hierarchical</field>
      <field key="Mod" subkey="e">ls; Introduction to Multivariate Regression Models; Conclusion; Background Mathematics; The Central Limit Theorem, Confidence</field>
      <field key="Int" subkey="e">rvals, and Hypothesis Tests;</field>
      <field key="540" subkey="">978-1-4419-2434-6</field>
      <field key="544" subkey="">20258-A</field>
      <field key="700" subkey="b">300</field>
      <field key="700" subkey="b">Social sciences</field>
      <field key="710" subkey="">Social sciences -- Statistical methods</field>
      <field key="710" subkey="">Bayesian statistical decision theory</field>
    </SEQUENTIAL>
  </section>