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  • 10.1201_9781420079340-10.pdf
       Conditional Inference: Guessing Lengths, Suicides, Gastrointestinal Damage, and Newborn Infants

  • 173.59 KB
  • 2019-8-3
  • 10.1201_9781420079340-9.pdf
       Conditional Inference: Guessing Lengths, Suicides, Gastrointestinal Damage, and Newborn Infants

  • 212.33 KB
  • 2019-8-3
  • 10.1201_9781420079340-8.pdf
       Conditional Inference: Guessing Lengths, Suicides, Gastrointestinal Damage, and Newborn Infants

  • 203.37 KB
  • 2019-8-3
  • LengthMatch.zip
       匹配两个金融序列的长度

    本附件包括:
    • LengthMatch.m
  • 475 Bytes
  • 2015-10-28
  • When Arm’s Length is Too Far.rar

    本附件包括:
    • When Arm’s Length is Too Far.pdf
  • 1.35 MB
  • 2014-7-27
  • sharpe1982.pdf
       Numerical method for extracting an arc length parameterization from parametric curves

  • 253.5 KB
  • 2014-7-9
  • Transport Infrastructure.zip
       中国31省公路、铁路和水运里程数(1994-2010)

    本附件包括:
    • Railways line length.xlsx
    • Waterways.xlsx
    • Paved roads.xlsx
  • 152.72 KB
  • 2012-10-11
  • 程序.rar
       程序1

    本附件包括:
    • length.sas
    • length1.sas
    • length2.sas
    • length3.sas
    • length4.sas
    • attrib.sas
    • by.sas
    • call.sas
    • call_system.sas
    • cards4.sas
    • compare.sas
    • continue.sas
    • convert(spss).sas
    • corr.sas
    • data.sas
    • data2.sas
    • datasets(index).sas
    • datasets(pw).sas
    • datasets1.sas
    • delete.sas
    • do over.sas
    • do until.sas
    • do while.sas
    • do(do).sas
    • do.sas
    • do_exit.sas
    • do_simple.sas
    • do1.sas
    • do2.sas
    • dsd.sas
    • ex2.sas
    • file.sas
    • filename.sas
    • flow.sas
    • flow1.sas
    • flow2.sas
    • format(informat).sas
    • format_=.sas
    • format_char.sas
    • format_lowhigh.sas
    • format_num.sas
    • format_picture.sas
    • freq.sas
    • freq_cows.sas
    • freq_eye.sas
    • functions.sas
    • fund.sas
    • goto.sas
    • helloworld.sas
    • if.sas
    • if_else.sas
    • if_x.sas
    • import.sas
    • import2.sas
    • include1.sas
    • infile(dlm).sas
    • infile(dsd).sas
    • infile(obs).sas
    • infile(pad,missover).sas
    • infile.sas
    • informat.sas
    • input(hier).sas
    • input@.sas
    • input@@.sas
    • input1.sas
    • input2.sas
    • intck.sas
    • leave.sas
    • libname.sas
    • libname0.sas
    • link.sas
    • lostcard.sas
    • means.sas
    • merge.sas
    • missing.sas
    • missover.sas
    • modify.sas
    • operator.sas
    • operator_char.sas
    • options(view).sas
    • options.sas
    • orange.sas
    • output.sas
    • output1.sas
    • output2.sas
    • output3.sas
    • page.sas
    • plot(函数).sas
    • point.sas
    • print1.sas
    • print2.sas
    • printto.sas
    • put.sas
    • put1.sas
    • rank.sas
    • ranuni.sas
    • reg.sas
    • reg1.sas
    • report(compute).sas
    • retain.sas
    • retain2.sas
    • return.sas
    • scan.sas
    • select(do).sas
    • select(when).sas
    • set.sas
    • set2.sas
    • skip.sas
    • sql(alter).sas
    • sql(connect).sas
    • sql(view).sas
    • sql.sas
    • standard.sas
    • tabulate.sas
    • tabulate1.sas
    • temp.sas
    • title.sas
    • transpose.sas
    • univariate.sas
    • update.sas
    • view.sas
    • weight.sas
    • where.sas
    • window.sas
    • yearcutoff.sas
    • abort.sas
    • access(dbf).sas
    • array(dif).sas
    • array(dim).sas
    • array(prod).sas
    • array(s).sas
    • array(temporary).sas
    • array.sas
  • 30.63 KB
  • 2012-9-3
  • Matlab - Sect 40 - Finding the Length, Size, Sum, and Number of Elements in a Matrix.rar

    本附件包括:
    • Matlab - Sect 40 - Finding the Length, Size, Sum, and Number of Elements in a Matrix.mp4
  • 6.38 MB
  • 2012-8-21
  • Matlab - Sect 26 - Finding the Mean, Sum, and Length of a Vector.rar

    本附件包括:
    • Matlab - Sect 26 - Finding the Mean, Sum, and Length of a Vector.mp4
  • 4.09 MB
  • 2012-8-20
  • supply chain finance.rar
       供应链金融文献

    本附件包括:
    • Approach_for_setting_unit_price_and_the_length_of_the_credit_period_for_a_seller_when_end_demand_is_price_sensitive.pdf
    • pdf_paper1_kouvelis.pdf
    • pdf_paper2_kouvelis.pdf
    • A Stochastic Inventory Model with Trade Credit.pdf
  • 1.9 MB
  • 2012-5-16
  • 120211.zip
       Matlab Codes

    本附件包括:
    • lengthcell.m
    • setup.m
    • README.txt
    • cap.m
    • LICENSE.txt
    • gpl.txt
    • FactorGraph.m
    • checkFactorGraph.m
    • absorb.m
    • absorption.m
    • absorptionID.m
    • ancestors.m
    • ancestralorder.m
    • ancestralsample.m
    • assign.m
    • bar3zcolor.m
    • bucketelim.m
    • condindep.m
    • condpot.m
    • dag.m
    • deltapot.m
    • descendents.m
    • disptable.m
    • divpots.m
    • edges.m
    • elimtri.m
    • evalpot.m
    • eyepot.m
    • ind2subv.m
    • istree.m
    • jtassignpot.m
    • jtree.m
    • jtreeID.m
    • markov.m
    • maxpot.m
    • maxprodFG.m
    • maxsumpot.m
    • mostprobablepath.m
    • multpots.m
    • numstates.m
    • orderpotfields.m
    • orderpot.m
    • potscontainingonly.m
    • potvariables.m
    • randgen.m
    • replace.m
    • setdiff_unsorted.m
    • setevpot.m
    • setpot.m
    • spantree.m
    • subv2ind.m
    • triangulateComponent.m
    • sumpot.m
    • sumpots.m
    • sumprodFG.m
    • triangulate.m
    • triangulatePorder.m
    • uniquepots.m
    • validgridposition.m
    • whichpot.m
    • maxarray.m
    • connectedComponents.m
    • changevar.m
    • FactorConnectingVariable.m
    • VariableConnectingFactor.m
    • drawFG.m
    • maxNarray.m
    • maxNpot.m
    • maxNprodFG.m
    • mvrandn.m
    • dirrnd.m
    • mygamrnd.m
    • blanknames.m
    • blankstates.m
    • MesstoFact.m
    • squeezepots.m
    • MDPsolve.m
    • table.m
    • normp.m
    • argmax.m
    • potsample.m
    • logpot.m
    • condindepEmp.m
    • condMI.m
    • count.m
    • chi2test.m
    • neigh.m
    • field2cell.m
    • mynchoosek.m
    • mynanmean.m
    • MDPemDeterministicPolicy.m
    • EMqTranMarginal.m
    • EMqUtilMarginal.m
    • EMminimizeKL.m
    • EMvalueTable.m
    • EMTotalBetaMessage.m
    • sumpotID.m
    • IDvars.m
    • noselfpath.m
    • parents.m
    • children.m
    • drawJTree.m
    • drawNet.m
    • drawID.m
    • exppot.m
    • LoopyBP.m
    • MaxFlow.m
    • myones.m
    • setstate.m
    • condindepPot.m
    • myzeros.m
    • myrand.m
    • mostprobablepathmult.m
    • mynansum.m
    • isoctave.m
    • potistyped.m
    • logsigma.m
    • setfields.m
    • PCskeletonOracle.m
    • PCorient.m
    • PCskeletonData.m
    • BDscore.m
    • learnBayesNet.m
    • normpot.m
    • KLdiv.m
    • condMIemp.m
    • MIemp.m
    • squeezestates.m
    • JTsample.m
    • singleparenttree.m
    • neighboursize.m
    • argmin.m
    • IPF.m
    • nonzerovalue.m
    • empdist.m
    • learnMarkovDecomp.m
    • EntropyEmp.m
    • GibbsSample.m
    • mylogsig.m
    • grouppot.m
    • ungrouppot.m
    • groupstate.m
    • makeThinJT.m
    • gatherstrings.m
    • getdimind.m
    • EMbeliefnet.m
    • majority.m
    • nearNeigh.m
    • svdm.m
    • BayesLogRegressionRVM.m
    • CanonVar.m
    • GPreg.m
    • LogReg.m
    • avsigmaGauss.m
    • covfnGE.m
    • logdet.m
    • plsa.m
    • plsaCond.m
    • sigmoid.m
    • sigma.m
    • softloss.m
    • rbf.m
    • kernel.m
    • sqdist.m
    • BayesLinReg.m
    • HMMem.m
    • condp.m
    • condexp.m
    • HMMviterbi.m
    • HMMsmooth.m
    • HMMforward.m
    • HMMbackward.m
    • logsumexp.m
    • HMMgamma.m
    • mixMarkov.m
    • pointsCov.m
    • GMMem.m
    • Kmeans.m
    • MIXprodBern.m
    • LDSsmooth.m
    • LDSsubspace.m
    • LDSforwardUpdate.m
    • LDSbackwardUpdate.m
    • LDSforward.m
    • LDSbackward.m
    • SLDSforward.m
    • SLDSbackward.m
    • logeps.m
    • mix2mix.m
    • placeobject.m
    • sumlog.m
    • metropolis.m
    • logp.m
    • compat.m
    • betaXbiggerY.m
    • HebbML.m
    • NaiveBayesTrain.m
    • NaiveBayesTest.m
    • NaiveBayesDirichletTrain.m
    • NaiveBayesDirichletTest.m
    • logZdirichlet.m
    • SARlearn.m
    • ARtrain.m
    • HMMforwardSAR.m
    • HMMbackwardSAR.m
    • HMMsmoothSAR.m
    • ARlds.m
    • pca.m
    • hinton.m
    • FA.m
    • plotCov.m
    • GaussCond.m
    • SVMtrain.m
    • cca.m
    • SLDSmargGauss.m
    • binaryMRFmap.m
    • GPclass.m
    • cliquedecomp.m
    • rasch.m
    • conjgrad.m
    • Contents.m
  • 4.63 MB
  • 2012-3-20
  • enders.zip

    本附件包括:
    • Laglength.Src
    • Chapter6.Prg
    • Chap3_2.Prg
    • Chap4_1.Prg
    • Chap4_2.Prg
    • Chapter1.Prg
    • Chapter2.Prg
    • Chapter3_1.Prg
    • Chapter3_2.Prg
    • Chapter4_1.Prg
    • Chapter4_2.Prg
    • Chapter5.Prg
    • Chap3_1.Prg
    • Unit.Src
    • Laglngth.Src
    • Seasons.Src
    • Bic.Src
    • Trfuser.Src
    • Transform_user.Src
    • Trform.Src
    • Transform.Src
    • MoneyDem.xls
    • Money_dem.xls
    • RATS_Programming_Manual_W_Enders.pdf
  • 721.4 KB
  • 2010-1-6
  • lR.rar

    本附件包括:
    • What are the drivers of channel length_Distribution reform in The People's Republic of China.pdf
    • The role of 4PL as the reverse logistics integrator.pdf
    • Going Direct to Market.pdf
  • 833.04 KB
  • 2009-12-16
  • copula20篇论文.zip

    本附件包括:
    • Beyond Correlation--Extreme Co-movements Between Financial Assets (2002).pdf
    • Conditions for the Asymptotic Semiparametric Efficiency of an Omnibus Estimator of Dependence Parameters in Copula Models.pdf
    • Copula Structure Analysis Based on Robust and - Extreme Dependence Measures.pdf
    • Copulae and Their Uses (2002).pdf
    • Copulas and Credit Models (2001).pdf
    • Correlation And Dependence In Risk Management--Properties And Pitfalls (1999).pdf
    • Correlation--Pitfalls and Alternatives (1999).pdf
    • CreditProductsModeling.ppt
    • Estimation Of Copula Models For Time Series Of Possibly Different Lengths (2001).pdf
    • Estimation Procedures for a Semiparametric Family of Bivariate Copulas.pdf
    • Financial Risk and Heavy Tails (2002).pdf
    • How to Build Aggregation Operators from Data (2003).pdf
    • Modelling dependence for credit derivatives with copulas (2001).pdf
    • Modelling Dependence with Copulas and Applications to Risk Management (2001).pdf
    • Modelling Dependent Defaults (2001).pdf
    • Modelling, Estimation and Visualization of Multivariate Dependence for High-frequency Data.pdf
    • On Default Correlation--A Copula Function Approach (2000).pdf
    • Pair-copula constructions of multiple dependence.pdf
    • Strong Approximation of Copulas.pdf
    • Using Copulae to bound the Value-at-Risk for functions of dependent risks (2001).pdf
    • Using Copulae to bound the Value-at-Risk.pdf
  • 9.66 MB
  • 2009-10-20
  • 297077.pdf
       What to Tell Consumers in Waits of Different Lengths-An Integrative Model of Service Eval

  • 835.52 KB
  • 2009-2-25
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