fpp3_slides

(★ 83)

Slides to accompany Forecasting: Principles and Practice, 3rd edition

파일 탐색기

최종 버전 다운로드 (.zip)
  • .gitignore
  • .RData
  • .Rprofile
  • 1-0-getting-started.pdf
  • 1-0-getting-started.Rmd
  • 1-1-what-can-be-forecast.pdf
  • 1-1-what-can-be-forecast.Rmd
  • 1-5-case-studies.pdf
  • 1-5-case-studies.Rmd
  • 1-7-statistical-forecasting-perspective.pdf
  • 1-7-statistical-forecasting-perspective.Rmd
  • 10-1-estimation.pdf
  • 10-1-estimation.Rmd
  • 10-2-regarima.pdf
  • 10-2-regarima.Rmd
  • 10-3-forecasting.pdf
  • 10-3-forecasting.Rmd
  • 10-4-trends.pdf
  • 10-4-trends.Rmd
  • 10-5-dhr.pdf
  • 10-5-dhr.Rmd
  • 10-6-laggedpredictors.pdf
  • 10-6-laggedpredictors.Rmd
  • 2-1-tsibble-objects.pdf
  • 2-1-tsibble-objects.R
  • 2-1-tsibble-objects.Rmd
  • 2-2-time-plots.pdf
  • 2-2-time-plots.Rmd
  • 2-3-ts-patterns.pdf
  • 2-3-ts-patterns.Rmd
  • 2-4-seasonalplots.pdf
  • 2-4-seasonalplots.Rmd
  • 2-5-subseriesplots.pdf
  • 2-5-subseriesplots.Rmd
  • 2-6-scatterplots.pdf
  • 2-6-scatterplots.Rmd
  • 2-7-lagplots.pdf
  • 2-7-lagplots.Rmd
  • 2-8-autocorrelation.pdf
  • 2-8-autocorrelation.Rmd
  • 2-9-white-noise.pdf
  • 2-9-white-noise.Rmd
  • 3-1-transformations.pdf
  • 3-1-transformations.R
  • 3-1-transformations.Rmd
  • 3-2-components.pdf
  • 3-2-components.Rmd
  • 3-3-moving-averages.pdf
  • 3-3-moving-averages.Rmd
  • 3-4-classical-decomposition.pdf
  • 3-4-classical-decomposition.Rmd
  • 3-5-official-decom.pdf
  • 3-5-official-decom.Rmd
  • 3-6-stl.pdf
  • 3-6-stl.R
  • 3-6-stl.Rmd
  • 5-1-workflow.pdf
  • 5-1-workflow.Rmd
  • 5-10-tscv.pdf
  • 5-10-tscv.Rmd
  • 5-2-benchmarks.pdf
  • 5-2-benchmarks.Rmd
  • 5-3-residuals.pdf
  • 5-3-residuals.Rmd
  • 5-4-diagnostics.pdf
  • 5-4-diagnostics.Rmd
  • 5-5-distributions.pdf
  • 5-5-distributions.Rmd
  • 5-6-ftransformations.pdf
  • 5-6-ftransformations.Rmd
  • 5-7-fdecomposition.pdf
  • 5-7-fdecomposition.Rmd
  • 5-8-evaluating_point.pdf
  • 5-8-evaluating_point.Rmd
  • 5-9-eval-distributions.pdf
  • 5-9-eval-distributions.Rmd
  • 7-1-linearmodel.pdf
  • 7-1-linearmodel.Rmd
  • 7-2-leastsquaresestimation.pdf
  • 7-2-leastsquaresestimation.Rmd
  • 7-3-evaluation.pdf
  • 7-3-evaluation.Rmd
  • 7-3-regressiondiagnostics.pdf
  • 7-3-regressiondiagnostics.Rmd
  • 7-4-usefulpredictors.pdf
  • 7-4-usefulpredictors.Rmd
  • 7-5-selectingpredictors.pdf
  • 7-5-selectingpredictors.Rmd
  • 7-6-forecasting-regression.pdf
  • 7-6-forecasting-regression.Rmd
  • 7-7-nonlinear-regression.pdf
  • 7-7-nonlinear-regression.Rmd
  • 7-8-causation.pdf
  • 7-8-causation.Rmd
  • 7-9-matrixformulation.pdf
  • 7-9-matrixformulation.Rmd
  • 8-1-ses.pdf
  • 8-1-ses.Rmd
  • 8-2-trend.pdf
  • 8-2-trend.Rmd
  • 8-3-seasonal.pdf
  • 8-3-seasonal.Rmd
  • 8-4-taxonomy.pdf
  • 8-4-taxonomy.Rmd
  • 8-5-statespace.pdf
  • 8-5-statespace.Rmd
  • 8-6-ets.pdf
  • 8-6-ets.Rmd
  • 8-7-forecastingets.pdf
  • 8-7-forecastingets.Rmd
  • 9-1-random-walk.pdf
  • 9-1-random-walk.Rmd
  • 9-1-stationarity.pdf
  • 9-1-stationarity.Rmd
  • 9-1-unit-root.pdf
  • 9-1-unit-root.Rmd
  • 9-10-arimavets.pdf
  • 9-10-arimavets.Rmd
  • 9-2-backshift.pdf
  • 9-2-backshift.Rmd
  • 9-3-ar.pdf
  • 9-3-ar.Rmd
  • 9-4-ma.pdf
  • 9-4-ma.Rmd
  • 9-5-arima.pdf
  • 9-5-arima.Rmd
  • 9-6-autoarima.pdf
  • 9-6-autoarima.Rmd
  • 9-7-arimafable.pdf
  • 9-7-arimafable.Rmd
  • 9-8-arimaforecasting.pdf
  • 9-8-arimaforecasting.Rmd
  • 9-9-seasonalarima.pdf
  • 9-9-seasonalarima.Rmd
  • _dependencies.R
  • beamercolorthememonashwhite.sty
  • beamerfontthememonash.sty
  • beamerthememonash.sty
  • fpp3header.tex
  • Makefile
  • README.md
  • renv.lock
  • setup.R

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