Essec\Faculty\Model\Contribution {#2190
  #_index: "academ_contributions"
  #_id: "2667"
  #_source: array:26 [
    "id" => "2667"
    "slug" => "the-impact-of-heterogeneity-and-ill-conditioning-on-diffusion-model-parameter-estimates"
    "yearMonth" => "2002-01"
    "year" => "2002"
    "title" => "The Impact of Heterogeneity and Ill-Conditioning on Diffusion Model Parameter Estimates"
    "description" => "BEMMAOR, A.C. et LEE, J. (2002). The Impact of Heterogeneity and Ill-Conditioning on Diffusion Model Parameter Estimates. <i>Marketing Science</i>, 21(2), pp. 209-220."
    "authors" => array:2 [
      0 => array:3 [
        "name" => "BEMMAOR Albert C."
        "bid" => "B00000029"
        "slug" => "bemmaor-albert-c"
      ]
      1 => array:1 [
        "name" => "LEE Janghyuk"
      ]
    ]
    "ouvrage" => ""
    "keywords" => array:3 [
      0 => "Diffusion"
      1 => "New Product Diffusion"
      2 => "Forecasting"
    ]
    "updatedAt" => "2021-04-16 09:37:05"
    "publicationUrl" => "https://pubsonline.informs.org/doi/abs/10.1287/mksc.21.2.209.151"
    "publicationInfo" => array:3 [
      "pages" => "209-220"
      "volume" => "21"
      "number" => "2"
    ]
    "type" => array:2 [
      "fr" => "Articles"
      "en" => "Journal articles"
    ]
    "support_type" => array:2 [
      "fr" => "Revue scientifique"
      "en" => "Scientific journal"
    ]
    "countries" => array:2 [
      "fr" => null
      "en" => null
    ]
    "abstract" => array:2 [
      "fr" => "Cette étude explique les changements systématiques des paramètres estimés du modèle de Bass lorsque le nombre d'observations augmente par l'hétérogénéité sous-jacente de la population. En utilisant le modèle gamma/Gompertz décalée comme modèle "vrai " de diffusion, l'étude montre que lorsque l' hétérogénéité est plus forte (faible) que ne le prévoit le modèle de Bass, les valeurs estimées des paramètres p et c du modèle de Bass diminuent (augmentent) et la valeur estimée du paramètre q augmente (diminue) quand le nombre d'observations augmente. Ces résultats sont conformes à ceux obtenus avec des données réelles."
      "en" => "This study explains the systematic changes in the parameter estimates of the Bass model as the number of data points increases by the level of the underlying  heterogeneity of the population. Using the gamma/shifted Gompertz model as the "true" model of diffusion, the study shows that when the data exhibit more right skew (more heterogeneity) than the Bass model, the Bass model estimates of p and c decrease and that of q increases as one adds data points, in contrast, when the data exhibit more left skew (less heterogeneity) than the Bass model, the Bass model estimates of  p and c increase and that of q decreases as one adds data points.  These results are consistent with those obtained with real data."
    ]
    "authors_fields" => array:2 [
      "fr" => "Marketing"
      "en" => "Marketing"
    ]
    "indexedAt" => "2024-04-20T10:21:51.000Z"
    "docTitle" => "The Impact of Heterogeneity and Ill-Conditioning on Diffusion Model Parameter Estimates"
    "docSurtitle" => "Journal articles"
    "authorNames" => "<a href="/cv/bemmaor-albert-c">BEMMAOR Albert C.</a>, LEE Janghyuk"
    "docDescription" => "<span class="document-property-authors">BEMMAOR Albert C., LEE Janghyuk</span><br><span class="document-property-authors_fields">Marketing</span> | <span class="document-property-year">2002</span>"
    "keywordList" => "<a href="#">Diffusion</a>, <a href="#">New Product Diffusion</a>, <a href="#">Forecasting</a>"
    "docPreview" => "<b>The Impact of Heterogeneity and Ill-Conditioning on Diffusion Model Parameter Estimates</b><br><span>2002-01 | Journal articles </span>"
    "docType" => "research"
    "publicationLink" => "<a href="https://pubsonline.informs.org/doi/abs/10.1287/mksc.21.2.209.151" target="_blank">The Impact of Heterogeneity and Ill-Conditioning on Diffusion Model Parameter Estimates</a>"
  ]
  +lang: "en"
  +"_type": "_doc"
  +"_score": 9.090655
  +"parent": null
}