2017-Lynda.com-Logistic_Regression_in_R_and_Excel-IVY
File List
- 04-Running_a_Binomial_Logistic_Regression_in_R/03-The_mlogit_function_syntax.mp4 24.4 MB
- 05-Running_a_Multinomial_Logistic_Regressions_in_R/03-The_special_mlogit_syntax.mp4 20.6 MB
- 03-Running_a_Logistic_Regression_in_Excel/03-Establish_the_log_likelihood_and_run_Solver.mp4 18.4 MB
- 05-Running_a_Multinomial_Logistic_Regressions_in_R/02-Identify_long_versus_wide_data_frames.mp4 16.4 MB
- 03-Running_a_Logistic_Regression_in_Excel/04-Interpret_2LL_or_deviance.mp4 13.7 MB
- 01-Ordinary_Regression_and_Nominal_Outcome_Variables/01-The_normality_assumption.mp4 12.8 MB
- 04-Running_a_Binomial_Logistic_Regression_in_R/01-Install_the_mlogit_package.mp4 12.8 MB
- 03-Running_a_Logistic_Regression_in_Excel/01-Set_up_the_worksheet_Original_data_and_logistic_regression_coefficients.mp4 12.6 MB
- 02-Solutions_to_Problems_with_Ordinary_Regression/05-Predict_the_log_of_the_odds_the_logit.mp4 12.3 MB
- 01-Ordinary_Regression_and_Nominal_Outcome_Variables/02-Recognize_abnormal_distribution.mp4 12.0 MB
- 01-Ordinary_Regression_and_Nominal_Outcome_Variables/03-Forecast_Too_high_or_too_low.mp4 10.6 MB
- 00-Introduction/01-Welcome.mp4 10.0 MB
- 04-Running_a_Binomial_Logistic_Regression_in_R/02-Establish_the_data_frame_with_XLGetRange.mp4 9.9 MB
- 04-Running_a_Binomial_Logistic_Regression_in_R/04-Use_of_glm_instead_of_mlogit.mp4 8.2 MB
- 02-Solutions_to_Problems_with_Ordinary_Regression/03-Logs_exponents_bases_sum_of_logs_and_the_log_of_products.mp4 8.1 MB
- 02-Solutions_to_Problems_with_Ordinary_Regression/04-Use_of_log_odds_to_limit_the_probabilities_on_the_downside.mp4 8.0 MB
- 03-Running_a_Logistic_Regression_in_Excel/02-Set_up_the_logit_column_the_antilog_column_and_the_probability_column.mp4 7.9 MB
- 01-Ordinary_Regression_and_Nominal_Outcome_Variables/04-Manage_different_slopes.mp4 7.8 MB
- 02-Solutions_to_Problems_with_Ordinary_Regression/01-Use_of_odds_instead_of_probabilities.mp4 6.3 MB
- 05-Running_a_Multinomial_Logistic_Regressions_in_R/01-Deal_with_problems_introduced_by_three_or_more_possible_outcomes.mp4 5.3 MB
- 02-Solutions_to_Problems_with_Ordinary_Regression/02-Use_of_odds_to_limit_the_probabilities_on_the_upside.mp4 3.2 MB
- 00-Introduction/03-Exercise_files.mp4 2.3 MB
- 06-Conclusion/01-Next_steps.mp4 1.8 MB
- 00-Introduction/02-What_you_should_know.mp4 1.2 MB
- Ex_Files_Regression_R_Excel.zip 525.8 KB
- 04-Running_a_Binomial_Logistic_Regression_in_R/03-The_mlogit_function_syntax.srt 17.0 KB
- 05-Running_a_Multinomial_Logistic_Regressions_in_R/03-The_special_mlogit_syntax.srt 13.0 KB
- 03-Running_a_Logistic_Regression_in_Excel/03-Establish_the_log_likelihood_and_run_Solver.srt 11.3 KB
- 03-Running_a_Logistic_Regression_in_Excel/01-Set_up_the_worksheet_Original_data_and_logistic_regression_coefficients.srt 9.2 KB
- 05-Running_a_Multinomial_Logistic_Regressions_in_R/02-Identify_long_versus_wide_data_frames.srt 9.0 KB
- 01-Ordinary_Regression_and_Nominal_Outcome_Variables/01-The_normality_assumption.srt 8.5 KB
- 03-Running_a_Logistic_Regression_in_Excel/04-Interpret_2LL_or_deviance.srt 7.9 KB
- 02-Solutions_to_Problems_with_Ordinary_Regression/05-Predict_the_log_of_the_odds_the_logit.srt 7.5 KB
- 01-Ordinary_Regression_and_Nominal_Outcome_Variables/02-Recognize_abnormal_distribution.srt 7.5 KB
- 01-Ordinary_Regression_and_Nominal_Outcome_Variables/03-Forecast_Too_high_or_too_low.srt 7.2 KB
- 04-Running_a_Binomial_Logistic_Regression_in_R/01-Install_the_mlogit_package.srt 7.0 KB
- 04-Running_a_Binomial_Logistic_Regression_in_R/02-Establish_the_data_frame_with_XLGetRange.srt 6.2 KB
- 01-Ordinary_Regression_and_Nominal_Outcome_Variables/04-Manage_different_slopes.srt 5.1 KB
- 02-Solutions_to_Problems_with_Ordinary_Regression/04-Use_of_log_odds_to_limit_the_probabilities_on_the_downside.srt 5.1 KB
- 02-Solutions_to_Problems_with_Ordinary_Regression/03-Logs_exponents_bases_sum_of_logs_and_the_log_of_products.srt 5.0 KB
- 04-Running_a_Binomial_Logistic_Regression_in_R/04-Use_of_glm_instead_of_mlogit.srt 4.4 KB
- 03-Running_a_Logistic_Regression_in_Excel/02-Set_up_the_logit_column_the_antilog_column_and_the_probability_column.srt 4.3 KB
- 02-Solutions_to_Problems_with_Ordinary_Regression/01-Use_of_odds_instead_of_probabilities.srt 4.2 KB
- 05-Running_a_Multinomial_Logistic_Regressions_in_R/01-Deal_with_problems_introduced_by_three_or_more_possible_outcomes.srt 4.0 KB
- 02-Solutions_to_Problems_with_Ordinary_Regression/02-Use_of_odds_to_limit_the_probabilities_on_the_upside.srt 2.0 KB
- 00-Introduction/01-Welcome.srt 1.9 KB
- 00-Introduction/03-Exercise_files.srt 1.4 KB
- 00-Introduction/02-What_you_should_know.srt 1.4 KB
- 06-Conclusion/01-Next_steps.srt 1.2 KB
Download Torrent
Related Resources
Copyright Infringement
If the content above is not authorized, please contact us via activebusinesscommunication[AT]gmail.com. Remember to include the full url in your complaint.