<?xml version="1.0" encoding="UTF-8"?>
<record
    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd"
    xmlns="http://www.loc.gov/MARC21/slim">

  <leader>01106nam a2200217Ia 4500</leader>
  <datafield tag="999" ind1=" " ind2=" ">
    <subfield code="c">2098</subfield>
    <subfield code="d">2098</subfield>
  </datafield>
  <controlfield tag="003">11233</controlfield>
  <controlfield tag="005">20200113111521.0</controlfield>
  <controlfield tag="008">191015s9999||||xx |||||||||||||| ||und||</controlfield>
  <datafield tag="020" ind1=" " ind2=" ">
    <subfield code="a">0-13-087810-3</subfield>
  </datafield>
  <datafield tag="040" ind1=" " ind2=" ">
    <subfield code="c">B000</subfield>
  </datafield>
  <datafield tag="041" ind1=" " ind2=" ">
    <subfield code="a">CIC-UMAD</subfield>
  </datafield>
  <datafield tag="050" ind1=" " ind2=" ">
    <subfield code="a">HD30.27 </subfield>
    <subfield code="b">H36</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="a">Hanke, John E. ; Wichern, Dean W. ; Reitsch, Arthur G.</subfield>
    <subfield code="9">2036</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2="0">
    <subfield code="a">Business Forecasting</subfield>
  </datafield>
  <datafield tag="250" ind1=" " ind2=" ">
    <subfield code="a">7a</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="a">M&#xE9;xico</subfield>
    <subfield code="b">Prentice Hall</subfield>
    <subfield code="c">2001</subfield>
  </datafield>
  <datafield tag="300" ind1=" " ind2=" ">
    <subfield code="a">498 p</subfield>
    <subfield code="b">26 x 20 cm</subfield>
  </datafield>
  <datafield tag="502" ind1=" " ind2=" ">
    <subfield code="a">Chapter 1: Introduction to forecasting. Chapter 2: A review of basic statistical concepts. Chapter 3: Exploring data patterns and choosing a forecasting technique. Chapter 4: Moving averages and smoothing methods. Chapter 5: Time series and their components. Chapter 6: Simple linear regression. Chapter 7: Multiple regression analysis. Chapter 8: Regression with time series data. Chapter 9: The box-Jenkins (ARIMA) methodology. Chapter 10: Judgmental elements in forecasting. Chapter 11: Managing the forecasting process.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2=" ">
    <subfield code="a">Estad&#xED;stica, Administraci&#xF3;n, Casos de Estudios</subfield>
    <subfield code="9">2037</subfield>
  </datafield>
  <datafield tag="942" ind1=" " ind2=" ">
    <subfield code="2">lcc</subfield>
    <subfield code="c">BK</subfield>
  </datafield>
  <datafield tag="952" ind1=" " ind2=" ">
    <subfield code="0">0</subfield>
    <subfield code="1">0</subfield>
    <subfield code="2">lcc</subfield>
    <subfield code="3">V. 1</subfield>
    <subfield code="4">0</subfield>
    <subfield code="7">0</subfield>
    <subfield code="8">G</subfield>
    <subfield code="a">B000</subfield>
    <subfield code="b">B000</subfield>
    <subfield code="d">2019-10-15</subfield>
    <subfield code="l">0</subfield>
    <subfield code="o">HD30.27 H36</subfield>
    <subfield code="p">16645</subfield>
    <subfield code="r">2019-10-15 00:00:00</subfield>
    <subfield code="t">Ej. 1</subfield>
    <subfield code="w">2019-10-15</subfield>
    <subfield code="y">BK</subfield>
  </datafield>
</record>
