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2017-Lynda.com-Logistic_Regression_in_R_and_Excel-IVY

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文件列表

  1. 04-Running_a_Binomial_Logistic_Regression_in_R/03-The_mlogit_function_syntax.mp4 24MB
  2. 05-Running_a_Multinomial_Logistic_Regressions_in_R/03-The_special_mlogit_syntax.mp4 21MB
  3. 03-Running_a_Logistic_Regression_in_Excel/03-Establish_the_log_likelihood_and_run_Solver.mp4 18MB
  4. 05-Running_a_Multinomial_Logistic_Regressions_in_R/02-Identify_long_versus_wide_data_frames.mp4 16MB
  5. 03-Running_a_Logistic_Regression_in_Excel/04-Interpret_2LL_or_deviance.mp4 14MB
  6. 01-Ordinary_Regression_and_Nominal_Outcome_Variables/01-The_normality_assumption.mp4 13MB
  7. 04-Running_a_Binomial_Logistic_Regression_in_R/01-Install_the_mlogit_package.mp4 13MB
  8. 03-Running_a_Logistic_Regression_in_Excel/01-Set_up_the_worksheet_Original_data_and_logistic_regression_coefficients.mp4 13MB
  9. 02-Solutions_to_Problems_with_Ordinary_Regression/05-Predict_the_log_of_the_odds_the_logit.mp4 12MB
  10. 01-Ordinary_Regression_and_Nominal_Outcome_Variables/02-Recognize_abnormal_distribution.mp4 12MB
  11. 01-Ordinary_Regression_and_Nominal_Outcome_Variables/03-Forecast_Too_high_or_too_low.mp4 11MB
  12. 00-Introduction/01-Welcome.mp4 10MB
  13. 04-Running_a_Binomial_Logistic_Regression_in_R/02-Establish_the_data_frame_with_XLGetRange.mp4 10MB
  14. 04-Running_a_Binomial_Logistic_Regression_in_R/04-Use_of_glm_instead_of_mlogit.mp4 8MB
  15. 02-Solutions_to_Problems_with_Ordinary_Regression/03-Logs_exponents_bases_sum_of_logs_and_the_log_of_products.mp4 8MB
  16. 02-Solutions_to_Problems_with_Ordinary_Regression/04-Use_of_log_odds_to_limit_the_probabilities_on_the_downside.mp4 8MB
  17. 03-Running_a_Logistic_Regression_in_Excel/02-Set_up_the_logit_column_the_antilog_column_and_the_probability_column.mp4 8MB
  18. 01-Ordinary_Regression_and_Nominal_Outcome_Variables/04-Manage_different_slopes.mp4 8MB
  19. 02-Solutions_to_Problems_with_Ordinary_Regression/01-Use_of_odds_instead_of_probabilities.mp4 6MB
  20. 05-Running_a_Multinomial_Logistic_Regressions_in_R/01-Deal_with_problems_introduced_by_three_or_more_possible_outcomes.mp4 5MB
  21. 02-Solutions_to_Problems_with_Ordinary_Regression/02-Use_of_odds_to_limit_the_probabilities_on_the_upside.mp4 3MB
  22. 00-Introduction/03-Exercise_files.mp4 2MB
  23. 06-Conclusion/01-Next_steps.mp4 2MB
  24. 00-Introduction/02-What_you_should_know.mp4 1MB
  25. Ex_Files_Regression_R_Excel.zip 526KB
  26. 04-Running_a_Binomial_Logistic_Regression_in_R/03-The_mlogit_function_syntax.srt 17KB
  27. 05-Running_a_Multinomial_Logistic_Regressions_in_R/03-The_special_mlogit_syntax.srt 13KB
  28. 03-Running_a_Logistic_Regression_in_Excel/03-Establish_the_log_likelihood_and_run_Solver.srt 11KB
  29. 03-Running_a_Logistic_Regression_in_Excel/01-Set_up_the_worksheet_Original_data_and_logistic_regression_coefficients.srt 9KB
  30. 05-Running_a_Multinomial_Logistic_Regressions_in_R/02-Identify_long_versus_wide_data_frames.srt 9KB
  31. 01-Ordinary_Regression_and_Nominal_Outcome_Variables/01-The_normality_assumption.srt 8KB
  32. 03-Running_a_Logistic_Regression_in_Excel/04-Interpret_2LL_or_deviance.srt 8KB
  33. 02-Solutions_to_Problems_with_Ordinary_Regression/05-Predict_the_log_of_the_odds_the_logit.srt 7KB
  34. 01-Ordinary_Regression_and_Nominal_Outcome_Variables/02-Recognize_abnormal_distribution.srt 7KB
  35. 01-Ordinary_Regression_and_Nominal_Outcome_Variables/03-Forecast_Too_high_or_too_low.srt 7KB
  36. 04-Running_a_Binomial_Logistic_Regression_in_R/01-Install_the_mlogit_package.srt 7KB
  37. 04-Running_a_Binomial_Logistic_Regression_in_R/02-Establish_the_data_frame_with_XLGetRange.srt 6KB
  38. 01-Ordinary_Regression_and_Nominal_Outcome_Variables/04-Manage_different_slopes.srt 5KB
  39. 02-Solutions_to_Problems_with_Ordinary_Regression/04-Use_of_log_odds_to_limit_the_probabilities_on_the_downside.srt 5KB
  40. 02-Solutions_to_Problems_with_Ordinary_Regression/03-Logs_exponents_bases_sum_of_logs_and_the_log_of_products.srt 5KB
  41. 04-Running_a_Binomial_Logistic_Regression_in_R/04-Use_of_glm_instead_of_mlogit.srt 4KB
  42. 03-Running_a_Logistic_Regression_in_Excel/02-Set_up_the_logit_column_the_antilog_column_and_the_probability_column.srt 4KB
  43. 02-Solutions_to_Problems_with_Ordinary_Regression/01-Use_of_odds_instead_of_probabilities.srt 4KB
  44. 05-Running_a_Multinomial_Logistic_Regressions_in_R/01-Deal_with_problems_introduced_by_three_or_more_possible_outcomes.srt 4KB
  45. 02-Solutions_to_Problems_with_Ordinary_Regression/02-Use_of_odds_to_limit_the_probabilities_on_the_upside.srt 2KB
  46. 00-Introduction/01-Welcome.srt 2KB
  47. 00-Introduction/03-Exercise_files.srt 1KB
  48. 00-Introduction/02-What_you_should_know.srt 1KB
  49. 06-Conclusion/01-Next_steps.srt 1KB