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2017-Lynda.com-Logistic_Regression_in_R_and_Excel-IVY
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文件列表详情
d8f3e3e8379c2693dc6eed1530a9ba248473da9b
infohash:
24
文件数量
246.38 MB
文件大小
2019-1-22 20:35
创建日期
2024-9-9 19:55
最后访问
相关分词
2017-Lynda
com-Logistic_Regression_in_R_and_Excel-IVY
00-Introduction/01-Welcome.mp4 9.98 MB
00-Introduction/02-What_you_should_know.mp4 1.22 MB
00-Introduction/03-Exercise_files.mp4 2.26 MB
01-Ordinary_Regression_and_Nominal_Outcome_Variables/01-The_normality_assumption.mp4 12.82 MB
01-Ordinary_Regression_and_Nominal_Outcome_Variables/02-Recognize_abnormal_distribution.mp4 11.96 MB
01-Ordinary_Regression_and_Nominal_Outcome_Variables/03-Forecast_Too_high_or_too_low.mp4 10.63 MB
01-Ordinary_Regression_and_Nominal_Outcome_Variables/04-Manage_different_slopes.mp4 7.78 MB
02-Solutions_to_Problems_with_Ordinary_Regression/01-Use_of_odds_instead_of_probabilities.mp4 6.28 MB
02-Solutions_to_Problems_with_Ordinary_Regression/02-Use_of_odds_to_limit_the_probabilities_on_the_upside.mp4 3.21 MB
02-Solutions_to_Problems_with_Ordinary_Regression/03-Logs_exponents_bases_sum_of_logs_and_the_log_of_products.mp4 8.07 MB
02-Solutions_to_Problems_with_Ordinary_Regression/04-Use_of_log_odds_to_limit_the_probabilities_on_the_downside.mp4 8.04 MB
02-Solutions_to_Problems_with_Ordinary_Regression/05-Predict_the_log_of_the_odds_the_logit.mp4 12.3 MB
03-Running_a_Logistic_Regression_in_Excel/01-Set_up_the_worksheet_Original_data_and_logistic_regression_coefficients.mp4 12.55 MB
03-Running_a_Logistic_Regression_in_Excel/02-Set_up_the_logit_column_the_antilog_column_and_the_probability_column.mp4 7.89 MB
03-Running_a_Logistic_Regression_in_Excel/03-Establish_the_log_likelihood_and_run_Solver.mp4 18.4 MB
03-Running_a_Logistic_Regression_in_Excel/04-Interpret_2LL_or_deviance.mp4 13.66 MB
04-Running_a_Binomial_Logistic_Regression_in_R/01-Install_the_mlogit_package.mp4 12.76 MB
04-Running_a_Binomial_Logistic_Regression_in_R/02-Establish_the_data_frame_with_XLGetRange.mp4 9.94 MB
04-Running_a_Binomial_Logistic_Regression_in_R/03-The_mlogit_function_syntax.mp4 24.37 MB
04-Running_a_Binomial_Logistic_Regression_in_R/04-Use_of_glm_instead_of_mlogit.mp4 8.2 MB
05-Running_a_Multinomial_Logistic_Regressions_in_R/01-Deal_with_problems_introduced_by_three_or_more_possible_outcomes.mp4 5.26 MB
05-Running_a_Multinomial_Logistic_Regressions_in_R/02-Identify_long_versus_wide_data_frames.mp4 16.4 MB
05-Running_a_Multinomial_Logistic_Regressions_in_R/03-The_special_mlogit_syntax.mp4 20.6 MB
06-Conclusion/01-Next_steps.mp4 1.79 MB
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