<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <title>Negative Binomial Regression / [electronic resource]</title>
  </titleInfo>
  <name type="personal">
    <namePart>Hilbe, Joseph M.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
    <role>
      <roleTerm type="text">author.</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">enk</placeTerm>
    </place>
    <dateIssued encoding="marc">2011</dateIssued>
    <edition>2nd ed.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">electronic</form>
    <extent>1 online resource (570 pages) : digital, PDF file(s).</extent>
  </physicalDescription>
  <abstract>This second edition of Hilbe's Negative Binomial Regression is a substantial enhancement to the popular first edition. The only text devoted entirely to the negative binomial model and its many variations, nearly every model discussed in the literature is addressed. The theoretical and distributional background of each model is discussed, together with examples of their construction, application, interpretation and evaluation. Complete Stata and R codes are provided throughout the text, with additional code (plus SAS), derivations and data provided on the book's website. Written for the practising researcher, the text begins with an examination of risk and rate ratios, and of the estimating algorithms used to model count data. The book then gives an in-depth analysis of Poisson regression and an evaluation of the meaning and nature of overdispersion, followed by a comprehensive analysis of the negative binomial distribution and of its parameterizations into various models for evaluating count data.</abstract>
  <note type="statement of responsibility">Joseph M. Hilbe.</note>
  <note>Title from publisher's bibliographic system (viewed on 09 Oct 2015).</note>
  <subject authority="lcsh">
    <topic>Negative binomial distribution</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Poisson algebras</topic>
  </subject>
  <classification authority="lcc">QA161.B5  H55 2011</classification>
  <classification authority="ddc" edition="22">519.2/4</classification>
  <relatedItem type="otherFormat" displayLabel="Print version: "/>
  <identifier type="isbn">9780511973420 (ebook)</identifier>
  <identifier type="isbn" invalid="yes"/>
  <identifier type="uri">http://dx.doi.org/10.1017/CBO9780511973420</identifier>
  <location>
    <url>http://dx.doi.org/10.1017/CBO9780511973420</url>
  </location>
  <recordInfo>
    <recordContentSource authority="marcorg">UkCbUP</recordContentSource>
    <recordCreationDate encoding="marc">101011</recordCreationDate>
    <recordChangeDate encoding="iso8601">20180107143415.0</recordChangeDate>
    <recordIdentifier source="UkCbUP">CR9780511973420</recordIdentifier>
  </recordInfo>
</mods>
