书籍详情
质能均衡：化工计算（1982年第四版）
作者：希梅尔布劳（Himmelblau，David M.）著；田福助译著
出版社：世界图书出版公司北京分公司重印
出版时间：1993-01-01
ISBN：9787506214728
定价：¥59.00
内容简介
暂缺《质能均衡：化工计算（1982年第四版）》简介
作者简介
暂缺《质能均衡：化工计算（1982年第四版）》作者简介
目录
Preface
1.Introduction
1.1SmoothingMethods:aNonparametric/Parametric
Compromise
1.2UsesofSmoothingMethods
1.3OutlineoftheChapters
Backgroundmaterial
Computationalissues
Exercises
2.SimpleUnivariateDensityEstimation
2.1TheHistogram
2.2TheFrequencyPolygon
2.3VaryingtheBinWidth
2.4TheEffectivenessofSimpleDensityEstimators
Backgroundmaterial
Computationalissues
Exercises
3.SmootherUnivariateDensityEstimation
3.1KernelDensityEstimation
3.2ProblemswithKernelDensityEstimation
3.3AdjustmentsandImprovementstoKernelDensityEstimation
3.4LocalLikelihoodEstimation
3.5RoughnessPenaltyandSpline-BasedMethods
3.6ComparisonofUnivariateDensityEstimators
Backgroundmaterial
Computationalissues
Exercises
4.MultivariateDensityEstimation
4.1SimpleDensityEstimationMethods
4.2KernelDensityEstimation
4.3OtherEstimators
4.4DimensionReductionandProjectionPursuit
4.5TheStateofMultivariateDensityEstimation
Backgroundmaterial
Computationalissues
Exercises
5.NonparametricRegression
5.1ScatterPlotSmoothingandKernelRegression
5.2LocalPolynomialRegression
5.3BandwidthSelection
5.4LocallyVaryingtheBandwidth
5.5OutliersandAutocorrelation
5.6SplineSmoothing
5.7MultiplePredictorsandAdditiveModels
5.8ComparingNonparametricRegressionMethods
Backgroundmaterial
Computationalissues
Exercises
6.SmoothingOrderedCategoricalData
6.1SmoothingandOrderedCategoricalData
6.2SmoothingSparseMultinomiats
6.3SmoothingSparseContingencyTables
6.4CategoricalData,Regression,andDensityEstimation
Backgroundmaterial
Computationalissues
Exercises
7.FurtherApplicationsofSmoothing
7.1DiscriminantAnalysis
7.2Goodness-of-FitTests
7.3Smoothing-BasedParametricEstimation
7.4TheSmoothedBootstrap
Backgroundmaterial
Computationalissues
Exercises
Appendices
A.DescriptionsoftheDataSets
B.MoreonComputationalIssues
References
AuthorIndex
SubjectIndex
1.Introduction
1.1SmoothingMethods:aNonparametric/Parametric
Compromise
1.2UsesofSmoothingMethods
1.3OutlineoftheChapters
Backgroundmaterial
Computationalissues
Exercises
2.SimpleUnivariateDensityEstimation
2.1TheHistogram
2.2TheFrequencyPolygon
2.3VaryingtheBinWidth
2.4TheEffectivenessofSimpleDensityEstimators
Backgroundmaterial
Computationalissues
Exercises
3.SmootherUnivariateDensityEstimation
3.1KernelDensityEstimation
3.2ProblemswithKernelDensityEstimation
3.3AdjustmentsandImprovementstoKernelDensityEstimation
3.4LocalLikelihoodEstimation
3.5RoughnessPenaltyandSpline-BasedMethods
3.6ComparisonofUnivariateDensityEstimators
Backgroundmaterial
Computationalissues
Exercises
4.MultivariateDensityEstimation
4.1SimpleDensityEstimationMethods
4.2KernelDensityEstimation
4.3OtherEstimators
4.4DimensionReductionandProjectionPursuit
4.5TheStateofMultivariateDensityEstimation
Backgroundmaterial
Computationalissues
Exercises
5.NonparametricRegression
5.1ScatterPlotSmoothingandKernelRegression
5.2LocalPolynomialRegression
5.3BandwidthSelection
5.4LocallyVaryingtheBandwidth
5.5OutliersandAutocorrelation
5.6SplineSmoothing
5.7MultiplePredictorsandAdditiveModels
5.8ComparingNonparametricRegressionMethods
Backgroundmaterial
Computationalissues
Exercises
6.SmoothingOrderedCategoricalData
6.1SmoothingandOrderedCategoricalData
6.2SmoothingSparseMultinomiats
6.3SmoothingSparseContingencyTables
6.4CategoricalData,Regression,andDensityEstimation
Backgroundmaterial
Computationalissues
Exercises
7.FurtherApplicationsofSmoothing
7.1DiscriminantAnalysis
7.2Goodness-of-FitTests
7.3Smoothing-BasedParametricEstimation
7.4TheSmoothedBootstrap
Backgroundmaterial
Computationalissues
Exercises
Appendices
A.DescriptionsoftheDataSets
B.MoreonComputationalIssues
References
AuthorIndex
SubjectIndex
猜您喜欢
