• Anonymous
  • 2020-05-16 16:10:17
  • APPS
Compression is used

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ReScene version pyReScene Auto 0.7 ELOHiM File size CRC
Download
16,985
Stored files
4,477 F652C4B2
330 1BF721FA
RAR-files
e-pibmr.rar 15,000,000 29BAF6BA
e-pibmr.r00 15,000,000 FF02FD43
e-pibmr.r01 15,000,000 474E5CBD
e-pibmr.r02 15,000,000 4A284082
e-pibmr.r03 15,000,000 F9ABC630
e-pibmr.r04 15,000,000 F80D0285
e-pibmr.r05 15,000,000 1ADB2424
e-pibmr.r06 15,000,000 A55DB98A
e-pibmr.r07 15,000,000 49E3B3E9
e-pibmr.r08 15,000,000 CC62B12D
e-pibmr.r09 15,000,000 E73025B0
e-pibmr.r10 15,000,000 D118E8BC
e-pibmr.r11 15,000,000 D63A8117
e-pibmr.r12 15,000,000 0E01B6AF
e-pibmr.r13 4,899,029 FD1828DA

Total size: 214,899,029
Archived files
01. Course Overview\01. Course Overview.mp4 3,780,467 BE9F5207
01. Course Overview\01. Course Overview.srt 3,669 8DC023EE
02. Getting Started with Bootstrapping in R\01. Prerequisites and Course Outline.mp4 4,169,470 082C2A6B
02. Getting Started with Bootstrapping in R\01. Prerequisites and Course Outline.srt 4,738 6F0B354E
02. Getting Started with Bootstrapping in R\02. Sample Statistics and Confidence Intervals.mp4 9,256,910 D5343F14
02. Getting Started with Bootstrapping in R\02. Sample Statistics and Confidence Intervals.srt 9,372 B8FB41EB
02. Getting Started with Bootstrapping in R\03. Normally Distributed Data. Estimating Mean.mp4 13,744,389 D403A496
02. Getting Started with Bootstrapping in R\03. Normally Distributed Data. Estimating Mean.srt 10,220 3967A910
02. Getting Started with Bootstrapping in R\04. Normally Distributed Data. Calculating Confidence Intervals.mp4 6,120,638 38F41910
02. Getting Started with Bootstrapping in R\04. Normally Distributed Data. Calculating Confidence Intervals.srt 5,696 F95A5201
02. Getting Started with Bootstrapping in R\05. Data with Any Distribution. Estimating Mean and Confidence Intervals.mp4 11,659,709 37963D4E
02. Getting Started with Bootstrapping in R\05. Data with Any Distribution. Estimating Mean and Confidence Intervals.srt 9,579 2D0042CC
02. Getting Started with Bootstrapping in R\06. Implications of the Central Limit Theorem.mp4 5,035,696 DC56AF52
02. Getting Started with Bootstrapping in R\06. Implications of the Central Limit Theorem.srt 4,322 682F3847
02. Getting Started with Bootstrapping in R\07. Demo. The Central Limit Theorem with Different Distributions.mp4 14,574,718 B8FA80C6
02. Getting Started with Bootstrapping in R\07. Demo. The Central Limit Theorem with Different Distributions.srt 13,606 BF70602E
02. Getting Started with Bootstrapping in R\08. Demo. The Central Limit Theorem on Real Data.mp4 10,499,554 105A622D
02. Getting Started with Bootstrapping in R\08. Demo. The Central Limit Theorem on Real Data.srt 7,760 B4BA56EC
02. Getting Started with Bootstrapping in R\09. Drawbacks of Conventional Approaches.mp4 5,702,537 9AF6F0DA
02. Getting Started with Bootstrapping in R\09. Drawbacks of Conventional Approaches.srt 5,285 29BD21F8
02. Getting Started with Bootstrapping in R\10. Introducing Bootstrapping.mp4 12,899,063 06DE021A
02. Getting Started with Bootstrapping in R\10. Introducing Bootstrapping.srt 11,082 005AA365
02. Getting Started with Bootstrapping in R\11. Bootstrapped Confidence Intervals.mp4 14,234,180 ADDB1AF5
02. Getting Started with Bootstrapping in R\11. Bootstrapped Confidence Intervals.srt 14,343 6D7EF539
03. Implementing Bootstrap Methods for Summary Statistics\01. Demo. Bootstrap Statistics and Sample Statistics.mp4 19,817,298 7CB60B7F
03. Implementing Bootstrap Methods for Summary Statistics\01. Demo. Bootstrap Statistics and Sample Statistics.srt 16,538 171E861F
03. Implementing Bootstrap Methods for Summary Statistics\02. Demo. Performing Bootstrapping on Real Data.mp4 20,082,939 917AB9B5
03. Implementing Bootstrap Methods for Summary Statistics\02. Demo. Performing Bootstrapping on Real Data.srt 14,859 1E719897
03. Implementing Bootstrap Methods for Summary Statistics\03. Demo. Performing Bootstrapping Using the Boot Method.mp4 9,117,557 34B5950E
03. Implementing Bootstrap Methods for Summary Statistics\03. Demo. Performing Bootstrapping Using the Boot Method.srt 7,606 2CB0763E
03. Implementing Bootstrap Methods for Summary Statistics\04. Demo. Bootstrapping Multiple Statistics.mp4 14,623,993 9B39119B
03. Implementing Bootstrap Methods for Summary Statistics\04. Demo. Bootstrapping Multiple Statistics.srt 12,497 9E2D32F8
03. Implementing Bootstrap Methods for Summary Statistics\05. Introducing the Bayesian Bootstrap.mp4 9,355,129 0C85C5B8
03. Implementing Bootstrap Methods for Summary Statistics\05. Introducing the Bayesian Bootstrap.srt 8,461 86021800
03. Implementing Bootstrap Methods for Summary Statistics\06. Bayesian Bootstrap Algorithm.mp4 5,429,620 42C56679
03. Implementing Bootstrap Methods for Summary Statistics\06. Bayesian Bootstrap Algorithm.srt 4,772 50176026
03. Implementing Bootstrap Methods for Summary Statistics\07. Demo. Performing Bayesian Bootstrapping.mp4 13,456,404 6F43F025
03. Implementing Bootstrap Methods for Summary Statistics\07. Demo. Performing Bayesian Bootstrapping.srt 11,402 0CAC26B7
03. Implementing Bootstrap Methods for Summary Statistics\08. Introducing the Smoothed Bootstrap.mp4 4,710,713 92E9DCC5
03. Implementing Bootstrap Methods for Summary Statistics\08. Introducing the Smoothed Bootstrap.srt 4,693 A71DE222
03. Implementing Bootstrap Methods for Summary Statistics\09. Demo. Smoothed Bootstrap.mp4 7,907,269 D2E3A2ED
03. Implementing Bootstrap Methods for Summary Statistics\09. Demo. Smoothed Bootstrap.srt 7,270 33CBBC44
04. Implementing Bootstrap Methods for Regression Models\01. Introducing Linear Regression.mp4 2,863,407 FDB6D892
04. Implementing Bootstrap Methods for Regression Models\01. Introducing Linear Regression.srt 3,226 04D9AD5B
04. Implementing Bootstrap Methods for Regression Models\02. Regression Metrics and Bootstrapping.mp4 8,589,058 D08FBA18
04. Implementing Bootstrap Methods for Regression Models\02. Regression Metrics and Bootstrapping.srt 8,176 6C9DACD3
04. Implementing Bootstrap Methods for Regression Models\03. Case Resampling and Residual Resampling.mp4 6,851,771 3115AA5C
04. Implementing Bootstrap Methods for Regression Models\03. Case Resampling and Residual Resampling.srt 6,150 2C0A4C8B
04. Implementing Bootstrap Methods for Regression Models\04. Demo. Estimating R2 of Regression Models Using Bootstrapping.mp4 12,471,818 F40F8E76
04. Implementing Bootstrap Methods for Regression Models\04. Demo. Estimating R2 of Regression Models Using Bootstrapping.srt 10,558 36F809A4
04. Implementing Bootstrap Methods for Regression Models\05. Demo. Estimating Coefficients Using Bootstrapping.mp4 14,607,213 D380F640
04. Implementing Bootstrap Methods for Regression Models\05. Demo. Estimating Coefficients Using Bootstrapping.srt 10,923 265CF847
04. Implementing Bootstrap Methods for Regression Models\06. Demo. Case Resampling and Residual Resampling Using the Boot() Method.mp4 11,157,248 6769A0CC
04. Implementing Bootstrap Methods for Regression Models\06. Demo. Case Resampling and Residual Resampling Using the Boot() Method.srt 7,602 CDBAE030
04. Implementing Bootstrap Methods for Regression Models\07. Summary and Further Study.mp4 2,690,673 03A2F318
04. Implementing Bootstrap Methods for Regression Models\07. Summary and Further Study.srt 3,517 A1295103
Exercise Files\02\demos\datasets\insurance.csv 55,628 82C064E7
Exercise Files\02\demos\demo-01-CentralLimitTheorem.ipynb 329,469 59B48272
Exercise Files\02\demos\demo-02-CentralLimitTheoremUsingRealData.ipynb 371,443 3DAA380E
Exercise Files\02\demos\demo-03-BootstrapStatisticsAndSampleStatistics.ipynb 514,959 8E03EAC0
Exercise Files\02\demos\demo-04-BootstrapOnRealData.ipynb 743,573 BD14CFCE
Exercise Files\02\demos\demo-05-BootstrapForDifferentStatistics.ipynb 361,340 BFB05FCA
Exercise Files\02\demos\demo-06-BayesianBootstrap.ipynb 420,388 0F97F3A9
Exercise Files\02\demos\demo-07-SmoothedBootstrap.ipynb 188,984 C07552E5
Exercise Files\02\demos\demo-08-BootstrapMethodsForRegressionModels.ipynb 866,409 79E2FF34
Exercise Files\02\demos\demo-09-BootMethodForBootstrappingRegressionModels.ipynb 200,568 74E89B86
Exercise Files\02\getting-started-with-bootstrapping-in-r-slides.pdf 1,099,969 D610B705
Exercise Files\03\implementing-bootstrap-methods-for-summary-statistics-slides.pdf 735,654 6197AAEB
Exercise Files\04\implementing-bootstrap-methods-for-regression-models-slides.pdf 754,086 93143749
Exercise Files\02\demos\datasets 0 00000000
Exercise Files\02\demos 0 00000000
Exercise Files\02 0 00000000
Exercise Files\03 0 00000000
Exercise Files\04 0 00000000
01. Course Overview 0 00000000
02. Getting Started with Bootstrapping in R 0 00000000
03. Implementing Bootstrap Methods for Summary Statistics 0 00000000
04. Implementing Bootstrap Methods for Regression Models 0 00000000
Exercise Files 0 00000000

Total size: 282,289,833
RAR Recovery
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