2017-Lynda.com-Logistic_Regression_in_R_and_Excel-IVY
| 文件类型 | 收录时间 | 最后活跃 | 资源热度 | 文件大小 | 文件数量 |
|---|---|---|---|---|---|
| 视频 | 2019-1-22 20:35 | 2025-2-16 04:04 | 56 | 246.38 MB | 24 |
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文件列表
- 00-Introduction/01-Welcome.mp49.98MB
- 00-Introduction/02-What_you_should_know.mp41.22MB
- 00-Introduction/03-Exercise_files.mp42.26MB
- 01-Ordinary_Regression_and_Nominal_Outcome_Variables/01-The_normality_assumption.mp412.82MB
- 01-Ordinary_Regression_and_Nominal_Outcome_Variables/02-Recognize_abnormal_distribution.mp411.96MB
- 01-Ordinary_Regression_and_Nominal_Outcome_Variables/03-Forecast_Too_high_or_too_low.mp410.63MB
- 01-Ordinary_Regression_and_Nominal_Outcome_Variables/04-Manage_different_slopes.mp47.78MB
- 02-Solutions_to_Problems_with_Ordinary_Regression/01-Use_of_odds_instead_of_probabilities.mp46.28MB
- 02-Solutions_to_Problems_with_Ordinary_Regression/02-Use_of_odds_to_limit_the_probabilities_on_the_upside.mp43.21MB
- 02-Solutions_to_Problems_with_Ordinary_Regression/03-Logs_exponents_bases_sum_of_logs_and_the_log_of_products.mp48.07MB
- 02-Solutions_to_Problems_with_Ordinary_Regression/04-Use_of_log_odds_to_limit_the_probabilities_on_the_downside.mp48.04MB
- 02-Solutions_to_Problems_with_Ordinary_Regression/05-Predict_the_log_of_the_odds_the_logit.mp412.3MB
- 03-Running_a_Logistic_Regression_in_Excel/01-Set_up_the_worksheet_Original_data_and_logistic_regression_coefficients.mp412.55MB
- 03-Running_a_Logistic_Regression_in_Excel/02-Set_up_the_logit_column_the_antilog_column_and_the_probability_column.mp47.89MB
- 03-Running_a_Logistic_Regression_in_Excel/03-Establish_the_log_likelihood_and_run_Solver.mp418.4MB
- 03-Running_a_Logistic_Regression_in_Excel/04-Interpret_2LL_or_deviance.mp413.66MB
- 04-Running_a_Binomial_Logistic_Regression_in_R/01-Install_the_mlogit_package.mp412.76MB
- 04-Running_a_Binomial_Logistic_Regression_in_R/02-Establish_the_data_frame_with_XLGetRange.mp49.94MB
- 04-Running_a_Binomial_Logistic_Regression_in_R/03-The_mlogit_function_syntax.mp424.37MB
- 04-Running_a_Binomial_Logistic_Regression_in_R/04-Use_of_glm_instead_of_mlogit.mp48.2MB
- 05-Running_a_Multinomial_Logistic_Regressions_in_R/01-Deal_with_problems_introduced_by_three_or_more_possible_outcomes.mp45.26MB
- 05-Running_a_Multinomial_Logistic_Regressions_in_R/02-Identify_long_versus_wide_data_frames.mp416.4MB
- 05-Running_a_Multinomial_Logistic_Regressions_in_R/03-The_special_mlogit_syntax.mp420.6MB
- 06-Conclusion/01-Next_steps.mp41.79MB
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