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1Applied Regression Analysis

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  • Title: Applied Regression Analysis
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  • Language: English

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2Applied Regression Analysis And Experimental Design

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“Applied Regression Analysis And Experimental Design” Metadata:

  • Title: ➤  Applied Regression Analysis And Experimental Design
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3CD ROM Files For Applied Multiple Regression/Correlation Analysis For The Behavioral Sciences, 3rd Edition

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Contains all of the files on the accompanying compact disc for  Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences ( 3rd Edition). ISBN: 0-8058-2223-2

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4Applied Linear Statistical Models : Regression, Analysis Of Variance, And Experimental Designs

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Includes bibliographies and index

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5Studyguide For Multilevel Analysis For Applied Research : Its Just Regression! By Bickel, Robert

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6ERIC ED146014: Some Applied Research Concerns Using Multiple Linear Regression Analysis.

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The intention of this paper is to provide an overall reference on how a researcher can apply multiple linear regression in order to utilize the advantages that it has to offer. The advantages and some concerns expressed about the technique are examined. A number of practical ways by which researchers can deal with such concerns as correlation/causation, upward bias R-squared, and multicollinearity are discussed. (MS)

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7Student Solutions Manual For Applied Regression Analysis For Business And Economics

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The intention of this paper is to provide an overall reference on how a researcher can apply multiple linear regression in order to utilize the advantages that it has to offer. The advantages and some concerns expressed about the technique are examined. A number of practical ways by which researchers can deal with such concerns as correlation/causation, upward bias R-squared, and multicollinearity are discussed. (MS)

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8Applied Survival Analysis : Regression Modeling Of Time To Event Data

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The intention of this paper is to provide an overall reference on how a researcher can apply multiple linear regression in order to utilize the advantages that it has to offer. The advantages and some concerns expressed about the technique are examined. A number of practical ways by which researchers can deal with such concerns as correlation/causation, upward bias R-squared, and multicollinearity are discussed. (MS)

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9Applied Regression Analysis For Business And Economics

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Includes bibliographical references (p. 567-568) and index

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  • Title: ➤  Applied Regression Analysis For Business And Economics
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10Solutions Manual For Kleinbaum, Jupper, Muller, And Nizam's Applied Regression Analysis And Other Multivariable Methods

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Includes bibliographical references (p. 567-568) and index

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11Applied Multiple Regression/correlation Analysis For The Behavioral Sciences

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Includes bibliographical references (p. 567-568) and index

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12Primer Of Applied Regression And Analysis Of Variance

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Includes bibliographical references (p. 567-568) and index

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13Analysis Of Variance, Design And Regression : Applied Statistical Methods

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Includes bibliographical references (p. 567-568) and index

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  • Title: ➤  Analysis Of Variance, Design And Regression : Applied Statistical Methods
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14Applied Regression Analysis (Wiley Series In Probability And Mathematical Statistics)

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Includes bibliographical references (p. 567-568) and index

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15DTIC AD0871598: Critical Study Of Approximating Functions (and Methods) As Applied To Ocean Station Data. Project 1. Regression Analysis

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The stepwise multiple regression technique is used in a model building process to develop predictors of temperature, salinity, and sound velocity as functions of geographical location, time, and depth. Models which give reasonable results are obtained through successive trials using higher order terms of the independent variables. The model for sound velocity yields values which are nearly identical to the Wilson sound velocities contained in the ocean station file and values computed using a modified version of the MacKenzie equation. The distribution of residuals resulting from comparisons of the Wilson equation sound velocities to those obtained from the regression model (both computed from actual temperature and salinities) shows that 98% fall within the range of plus or minus 2 m/sec. A comparison of the regression model sound velocity values computed from regression predictions of temperature and salinity with the Wilson values shows that 88% of the residuals fall in the range of plus or minus 12 m/sec. The results, which are valid for the 4 degrees square centered at 37.5 degrees North latitude and 69.5 degrees West longitude, are discussed in terms of the statistical significance of the distribution of the residuals. Since the physical characteristics of the area selected are rather complex, the application of this technique to other parts of the ocean is recommended.

“DTIC AD0871598: Critical Study Of Approximating Functions (and Methods) As Applied To Ocean Station Data. Project 1. Regression Analysis” Metadata:

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16Applied Linear Statistical Models; Regression, Analysis Of Variance, And Experimental Designs

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The stepwise multiple regression technique is used in a model building process to develop predictors of temperature, salinity, and sound velocity as functions of geographical location, time, and depth. Models which give reasonable results are obtained through successive trials using higher order terms of the independent variables. The model for sound velocity yields values which are nearly identical to the Wilson sound velocities contained in the ocean station file and values computed using a modified version of the MacKenzie equation. The distribution of residuals resulting from comparisons of the Wilson equation sound velocities to those obtained from the regression model (both computed from actual temperature and salinities) shows that 98% fall within the range of plus or minus 2 m/sec. A comparison of the regression model sound velocity values computed from regression predictions of temperature and salinity with the Wilson values shows that 88% of the residuals fall in the range of plus or minus 12 m/sec. The results, which are valid for the 4 degrees square centered at 37.5 degrees North latitude and 69.5 degrees West longitude, are discussed in terms of the statistical significance of the distribution of the residuals. Since the physical characteristics of the area selected are rather complex, the application of this technique to other parts of the ocean is recommended.

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17Applied Logistic Regression Analysis

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The stepwise multiple regression technique is used in a model building process to develop predictors of temperature, salinity, and sound velocity as functions of geographical location, time, and depth. Models which give reasonable results are obtained through successive trials using higher order terms of the independent variables. The model for sound velocity yields values which are nearly identical to the Wilson sound velocities contained in the ocean station file and values computed using a modified version of the MacKenzie equation. The distribution of residuals resulting from comparisons of the Wilson equation sound velocities to those obtained from the regression model (both computed from actual temperature and salinities) shows that 98% fall within the range of plus or minus 2 m/sec. A comparison of the regression model sound velocity values computed from regression predictions of temperature and salinity with the Wilson values shows that 88% of the residuals fall in the range of plus or minus 12 m/sec. The results, which are valid for the 4 degrees square centered at 37.5 degrees North latitude and 69.5 degrees West longitude, are discussed in terms of the statistical significance of the distribution of the residuals. Since the physical characteristics of the area selected are rather complex, the application of this technique to other parts of the ocean is recommended.

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18Rawlings Pantula Dickey Applied Regression Analysis 2. Ed.

Rawlings Pantula Dickey Applied Regression Analysis 2. Ed.

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19Applied Regression Analysis And Other Multivariable Methods

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Rawlings Pantula Dickey Applied Regression Analysis 2. Ed.

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20Applied Regression Analysis

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Includes bibliographical references

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21Applied Regression Analysis

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407 p

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22Applied Statistics : Analysis Of Variance And Regression

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407 p

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23Applied Regression Analysis

407 p

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24Applied Statistics : Analysis Of Variance And Regression

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25Applied Logistic Regression Analysis

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26Applied Regression Analysis

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27Multilevel Analysis For Applied Research : It's Just Regression!

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28Applied Linear Statistical Models : Regression, Analysis Of Variance, And Experimental Designs

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29Applied Multiple Regression/correlation Analysis For The Behavioral Sciences

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30Applied Regression Analysis

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31Applied Regression Analysis A Research Tool Rawlings Pantula Dickey ( 1)

Applied Regression Analysis A Research Tool 

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32Applied Linear Statistical Models; Regression, Analysis Of Variance, And Experimental Designs

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Applied Regression Analysis A Research Tool 

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33Applied Regression Analysis

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34Applied Regression Analysis For Business And Economics

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35Applied Regression Analysis : A Research Tool

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Applied Regression Analysis A Research Tool 

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36Applied Multiple Regression/correlation Analysis For The Behavioral Sciences

Applied Regression Analysis A Research Tool 

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37Applied Regression Analysis, Linear Models, And Related Methods

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38Applied Survival Analysis : Regression Modeling Of Time-to-event Data

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39Student's Partial Solutions Manual For Applied Regression Analysis And Other Multivariable Methods

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103 pages : 23 cm

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40Student Solutions Manual For Kleinbaum, Kupper, Muller, And Nizam's Applied Regression Analysis And Other Multivariable Methods : 3rd Ed

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73 pages : 24 cm

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41Ying Yong Hui Gui Fen Xi = Applied Regression Analysis

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73 pages : 24 cm

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