项目作者: lorenzo-crippa

项目描述 :
Advanced Quantitative Political Analysis (GV300) - Department of Government, University of Essex
高级语言: TeX
项目地址: git://github.com/lorenzo-crippa/GV300.git
创建时间: 2020-08-27T18:28:56Z
项目社区:https://github.com/lorenzo-crippa/GV300

开源协议:Creative Commons Zero v1.0 Universal

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week_10_1647614247614.pdf
week_11_1647614247636.pdf
week_16_1647614247645.pdf
week_18_1647614247694.pdf
week_20_1647614247714.pdf
week_21_1647614247762.pdf
week_22_1647614247776.pdf
week_23_1647614247801.pdf
week_24_1647614247817.pdf
week_5_1647614247927.pdf
week_6_1647614247935.pdf
week_7_1647614247941.pdf
week_8_1647614247947.pdf
week_9_1647614247953.pdf
CDF_1647614247959.pdf
CDF_stata_1647614247962.pdf
PMF_1647614247965.pdf
PMF_stata_1647614248050.pdf
hist_chisq_1647614248054.pdf
ichinoSchuendeln_balance_1647614248077.pdf
ichinoSchuendeln_map_1647614248083.pdf
ichinoSchuendeln_preTreatmentOnTreatment_1647614248100.pdf
ichinoSchuendeln_randomization_1647614248104.pdf
ichinoSchuendeln_results_1647614248108.pdf
ichinoSchuendeln_statsModel_1647614248112.pdf
ichinoSchuendeln_title_1647614248116.pdf
obs10000var100_1647614248120.pdf
obs10000var1000_1647614248123.pdf
obs1000var100_1647614248125.pdf
obs1000var1000_1647614248140.pdf
obs100var100_1647614248142.pdf
obs100var1000_1647614248146.pdf
obs50var100_1647614248148.pdf
obs50var1000_1647614248151.pdf
problem_set3_boxplot_xl_1647614248268.pdf
problem_set3_boxplot_xs_1647614248279.pdf
problemset4_hist_1647614248314.pdf
problemset4_hist_F_1647614248317.pdf
problemset4_hist_T_1647614248320.pdf
problemset4_hist_chi2_1647614248323.pdf
problemset4_scatter1_1647614248325.pdf
problemset4_scatter2_1647614248344.pdf
problemset4_scatterfit_1647614248347.pdf
week24_conference_1647614248351.pdf
week_10_boxplot_1647614248355.pdf
week_10_boxplot2_1647614248358.pdf
week_10_heteroskedasticity_1647614248361.pdf
week_10_scatter_1647614248364.pdf
week_10_scatter2_1647614248367.pdf
week_10_scatter3_1647614248414.pdf
week_10_scatter4_1647614248440.pdf
week_16_barplot_1647614248448.pdf
week_16_barplot2_1647614248452.pdf
week_16_bivariate_1647614248454.pdf
week_16_density_1647614248457.pdf
week_18_het_1_1647614248459.pdf
week_18_het_2_1647614248462.pdf
week_20_power_1647614248464.pdf
week_21_boxplot1_1647614248467.pdf
week_21_boxplot2_1647614248469.pdf
week_21_power_1647614248475.pdf
week_21_scatterplot_1647614248482.pdf
week_22_3linfit_1647614248555.pdf
week_22_3locfit_1647614248565.pdf
week_22_3scatt_1647614248586.pdf
week_22_3sqrfit_1647614248589.pdf
week_22_ass1_1647614248592.pdf
week_22_ass3_1647614248647.pdf
week_23_NSS_1647614248677.pdf
week_23_badscatter_1647614248686.pdf
week_23_dens_1647614248689.pdf
week_23_fixed_effect_1647614248693.pdf
week_23_groupline_1647614248696.pdf
week_23_histdens_1647614248699.pdf
week_23_timescatter_1647614248716.pdf
week_23_yearfe_1647614248756.pdf
week_24_Q1_b_1647614248760.pdf
week_24_Q1_c_1647614248780.pdf
week_24_Q2_a1_1647614248783.pdf
week_24_Q2_a2_1647614248786.pdf
week_24_ll_binomial_1647614248807.pdf
week_24_ll_linear_1647614248810.pdf
wilcoxonRankSignTableN14_1647614248819.pdf