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Free Online OCR service allows you to convert PDF document to MS Word file, scanned images to editable text formats and extract text from JPEG/TIFF/BMP ... Convert PDF to Word via Email · Free Online OCR - FAQ · Account/login · Contact us I begin with a discussion of binary response variables. Here, I outline the pitfalls of using linear regression and develop the logistic regression model. Subsequent sections focus on model estimation, the interpretation of model coef cients, various inferential tests used in this type of analysis, and analogues of R 2 for assessing the discriminatory power of a model. Discussion of binary responses then proceeds to more advanced issues, such as modeling and interpreting interaction effects, comparing models across groups, and comparing coef cients of focus variables across nested models. I then treat unordered categorical variables, detailing the use of the multinomial logistic regression model and the test of collapsibility of response categories. Finally, I address the ordered categorical model and how to proceed when the model is not appropriate for the data. The chapter concludes with suggested readings for those interested in pursuing the topic with greater rigor. It is assumed that readers are reasonably familiar with multiple linear regression. Knowledge of matrix algebra is not a requirement; however, matrix notation is introduced in places to facilitate the compact presentation of material. free pdf to word converter with math equations online PDF to Word - Convert PDF to DOC, Online Converter for FREE ...
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