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本附件包括：
- 0502_【掌握】Lettuce实现乐观锁.rar
- 0519_【掌握】抢红包原理分析.txt
- 0607_【掌握】SpringDataRedis整合Sentinel.txt
- 0211_【掌握】GEO数据类型.txt
- 0508_【掌握】Stream基础操作命令.txt
- 0718_【理解】RedisAI.txt
- 0208_【掌握】ZSet数据类型.txt
- 0310_【理解】SLOWLOG.txt
- 0406_【掌握】RedisReactiveCommands.txt
- 0814_【掌握】配置Linux集群主机.txt
- 0408_【掌握】SpringData连接Redis数据库.rar
- 0510_【掌握】Lettuce实现Stream机制.txt
- 0606_【掌握】Lettuce整合Sentinel.rar
- 0709_【掌握】BloomFilter.txt
- 0302_【掌握】RDB持久化机制.txt
- 0504_【掌握】发布订阅模式.txt
- 0516_【掌握】Redis实现商品秒杀.txt
- 0103_【掌握】Redis组件安装.txt
- 0513_【理解】Lua核心语法.txt
- 0102_【了解】Redis简介.txt
- 0202_【掌握】文本数据类型.txt
- 0207_【掌握】Set数据类型.txt
- 0506_【掌握】SpringDataRedis实现发布订阅模型.txt
- 0809_【掌握】系统防火墙.txt
- 0404_【掌握】Redis连接池.rar
- 0520_【掌握】红包拆分.txt
- 0704_【掌握】RediSearch简介.txt
- 0711_【理解】Top-K.txt
- 0805_【掌握】配置系统时区时间.txt
- 0104_【掌握】Redis服务配置.txt
- 0210_【掌握】HyperLogLog.txt
- 0315_【理解】ACL配置文件.txt
- 0413_【掌握】分布式锁.txt
- 0506_【掌握】SpringDataRedis实现发布订阅模型.rar
- 0414_【掌握】接口幂等性.txt
- 0614_【了解】predixy集群代理.txt
- 0703_【掌握】SpringBoot整合RedisJSON.txt
- 0716_【理解】RedisGraph.txt
- 0811_【掌握】Tomcat安装与配置.txt
- 0815_【掌握】SSH免登录配置.txt
- 0306_【掌握】Redis线程模型.txt
- 0415_【掌握】响应式数据操作.rar
- 0511_【掌握】SpringDataRedis实现Stream机制.rar
- 0517_【掌握】Redis流量限制.rar
- 0303_【掌握】RDB数据恢复案例.txt
- 0505_【掌握】Lettuce实现发布订阅模型.rar
- 0813_【理解】Linux集群概述.txt
- 0525_【掌握】resty.redis模块.txt
- 0710_【掌握】CuckooFilter.txt
- 0307_【理解】Redis过期数据淘汰.txt
- 0405_【掌握】RedisAsyncCommands.txt
- 0410_【掌握】对象序列化处理.txt
- 0612_【理解】动态追加RedisCluster数据节点.txt
- 0803_【掌握】配置SSH连接.txt
- 0403_【掌握】StatefulRedisConnection.txt
- 0418_【掌握】Nginx负载均衡配置.txt
- 0501_【掌握】Redis乐观锁命令.txt
- 0509_【掌握】Stream消费组.txt
- 0401_【掌握】Lettuce简介.txt
- 0402_【掌握】RedisClient.rar
- 0522_【掌握】争抢红包.rar
- 0712_【理解】T-Digest.txt
- 0314_【理解】ACL用户管理.txt
- 0503_【掌握】SpringDataRedis事务控制.rar
- 0609_【掌握】配置RedisCluster服务.txt
- 0715_【理解】RedisTimeSeries.txt
- 0204_【掌握】Hash数据类型.txt
- 0309_【理解】碎片整理.txt
- 0317_【理解】Redis可视化监控.txt
- 0515_【掌握】Redis执行Lua脚本.txt
- 0603_【掌握】SpringDataRedis整合Redis主从架构.txt
- 0410_【掌握】对象序列化处理（JSON）.rar
- 0613_【了解】动态删除Redis数据节点.txt
- 0401_【掌握】Lettuce简介.rar
- 0505_【掌握】Lettuce实现发布订阅模型.txt
- 0518_【理解】Function.txt
- 0205_【掌握】数字操作.txt
- 0410_【掌握】对象序列化处理（JDK支持）.rar
- 0416_【掌握】Web集群架构简介.txt
- 0611_【掌握】SpringDataRedis整合RedisCluster.txt
- 0705_【理解】RediSearch命令.txt
- 0106_【掌握】redis-benchmark.txt
- 0510_【掌握】Lettuce实现Stream机制.rar
- 0611_【掌握】SpringDataRedis整合RedisCluster.rar
- 0606_【掌握】Lettuce整合Sentinel.txt
- 0810_【掌握】JDK安装与配置.txt
- 0201_【掌握】Redis多业务管理.txt
- 0313_【掌握】ACL简介.txt
- 0412_【掌握】SpringCache整合Redis.txt
- 0417_【掌握】SpringSession.txt
- 0517_【掌握】Redis流量限制.txt
- 0523_【掌握】应用灰度发布.rar
- 0402_【掌握】RedisClient.txt
- 0409_【掌握】RedisTemplate.rar
- 0410_【掌握】对象序列化处理（JDK序列化实现）.rar
- 0605_【掌握】配置Redis哨兵集群.txt
- 0502_【掌握】Lettuce实现乐观锁.txt
- 0511_【掌握】SpringDataRedis实现Stream机制.txt
- 0603_【掌握】SpringDataRedis整合Redis主从架构.rar
- 0706_【掌握】RediSearch整合RedisJSON.txt
- 0602_【掌握】Lettuce整合Redis主从架构.txt
- 0717_【理解】RedisCell.rar
- 0209_【掌握】位操作.txt
- 0404_【掌握】Redis连接池.txt
- 0714_【理解】RoaringBitmap.txt
- 0808_【掌握】配置FTP服务.txt
- 0411_【掌握】Pipeline命令流水线.txt
- 0703_【掌握】SpringBoot整合RedisJSON.rar
- 0707_【掌握】RediSearch中文检索.rar
- 0713_【理解】Count-Min Sketch.txt
- 0305_【掌握】AOF数据恢复案例.txt
- 0413_【掌握】分布式锁.rar
- 0411_【掌握】Pipeline命令流水线.rar
- 0523_【掌握】应用灰度发布.txt
- 0607_【掌握】SpringDataRedis整合Sentinel.rar
- 0702_【理解】RedisJSON命令.txt
- 0407_【理解】SpringDataRedis简介.txt
- 0521_【掌握】红包创建.rar
- 0806_【掌握】配置静态IP.txt
- 0602_【掌握】Lettuce整合Redis主从架构.rar
- 0701_【掌握】RedisJSON简介.txt
- 0807_【掌握】扩展数据存储.txt
- 0318_【理解】RedisExporter.txt
- 0519_【掌握】抢红包原理分析.rar
- 0812_【掌握】MySQL安装与配置.txt
- 0308_【理解】listpack.txt
- 0312_【了解】SSL证书.txt
- 0319_【理解】Prometheus安装与配置.txt
- 0412_【掌握】SpringCache整合Redis.rar
- 0717_【理解】RedisCell.txt
- 0203_【掌握】keys命令.txt
- 0206_【掌握】List数据类型.txt
- 0503_【掌握】SpringDataRedis事务控制.txt
- 0610_【掌握】Lettuce整合RedisCluster.rar
- 0802_【掌握】安装UBuntu系统.txt
- 0311_【理解】Latency Monitoring.txt
- 0514_【掌握】Redis执行Lua程序.txt
- 0801_【掌握】UBuntu系统简介.txt
- 0415_【掌握】响应式数据操作.txt
- 0417_【掌握】SpringSession.rar
- 0105_【掌握】Redis基础认证.txt
- 0408_【掌握】SpringData连接Redis数据库.txt
- 0707_【掌握】RediSearch中文检索.txt
- 0419_【理解】搭建Keepalived服务.txt
- 0516_【掌握】Redis实现商品秒杀.rar
- 0518_【理解】Function.rar
- 0804_【掌握】配置Linux系统环境.txt
- 0524_【掌握】OpenResty服务安装.txt
- 0601_【掌握】Redis主从架构.txt
- 0414_【掌握】接口幂等性.rar
- 0419_【理解】搭建Keepalived服务_20230701_062509.txt
- 0512_【理解】Lua脚本简介.txt
- 0520_【掌握】红包拆分.rar
- 0526_【掌握】灰度发布.txt
- 0708_【理解】RedisBloom模块简介.txt
- 0522_【掌握】争抢红包.txt
- 0610_【掌握】Lettuce整合RedisCluster.txt
- 0409_【掌握】RedisTemplate.txt
- 0521_【掌握】红包创建.txt
- 10.82 MB
- 2024-4-15
- 363.75 KB
- 2022-7-18
- 363.75 KB
- 2022-7-18
-
252-1117-1-SP.zip
model本附件包括：- loglike_svar_AB.m
- TVP_VAR_MH_final_corrected_dec13.m
- TVP_VAR_MH_Prior_final.m
- TVP_VAR_MH_revised_main.m
- vare.m
- wish.m
- apm.m
- beta_inv.m
- beta_pdf.m
- bfgsi.m
- carter_kohn_hom2.m
- carter_kohn1.m
- chis_prb.m
- coda.m
- convcheck.m
- corrvc.m
- csminit.m
- csminwel.m
- csolve.m
- Data_US_Q.mat
- draw_alpha_a_MH_constant.m
- draw_alpha_a_MH_TVP.m
- draw_alpha_a_MH_TVP_dec13.m
- draw_beta_conditional.m
- draw_beta_conditional_constant.m
- draw_beta_conditional_hierarchical.m
- draw_beta_conditional_lr.m
- draw_beta_conditional_reparametrized.m
- draw_beta_conditional_single.m
- draw_sigma_constant.m
- draw_sigma_constant_corrected.m
- draw_sigma_TVP.m
- draw_sigma_TVP_corrected.m
- draw_sigma_TVP_corrected_GARCH.m
- draw_sigma_TVP_corrected_GARCH2.m
- draw_sign_restrictions.m
- empquant.m
- Example.m
- exp_approx.m
- fdis_prb.m
- g1.mat
- H.dat
- ident_SZ06_alt.prn
- indtest.m
- inv_wishpdf.m
- keep.m
- logdet.m
- mcest.m
- mctest.m
- MDD_TVP_SVAR_Harmonic_final.m
- mlag.m
- mlag2.m
- momentg.m
- mprint.m
- mvnpdf.m
- mvnrnd.m
- norm_rnd.m
- numgrad.m
- ols.m
- ppnd.m
- prior_ML_final_40_2_1_2_1_20_0.mat
- prt_coda.m
- quantile.m
- raftery.m
- Readme.xlsx
- round2.m
- sacf.m
- tdis_inv.m
- tdis_prb.m
- thin.m
- transx.m
- trimr.m
- TVP_VAR_MH_Figures_final.m
- TVP_VAR_MH_final.m
- TVP_VAR_MH_final_corrected.m
- Supplementary.pdf
- paper.pdf
- 875.88 KB
- 2020-5-25
- 1.03 MB
- 2017-6-8
- 354.57 KB
- 2016-8-14
- 337.39 KB
- 2016-3-22
-
GasVola_Matlab.zip
Generalized autoregressive score models 的说明+程序+例子数据本附件包括：- GasVolaUnivMain.pdf
- hessian.m
- LogLikelihoodGasVolaUniv.m
- PlotSeries.m
- StandardErrors.m
- StartingValues.m
- DJInd19801999.xls
- GasVolaUnivMain.m
- 238.69 KB
- 2016-2-19
- 478.59 KB
- 2015-7-20
-
(Chapman and Hall_CRC Financial Mathematics Series) Schlogl, Erik-Quantitative F.pdf
- 2.56 MB
- 2015-7-1
- 624.5 KB
- 2014-4-19
-
clogg statistical model for ordinal data.pdf
经典的loglinear模型的教材 - 7.28 MB
- 2013-11-8
-
Loglinear Model using WinBUGS.pdf
Loglinear Model using WinBUGS - 89.96 KB
- 2013-11-6
- 424.17 KB
- 2013-4-26
-
0387982477logLinearModelsB.pdf
Log-linear Models and Logistic Regression - 4.53 MB
- 2012-10-23
-
loglike_ug.PDF
很好的计量实例 - 522.44 KB
- 2012-4-30
- 304.72 KB
- 2011-7-17
- 2.45 MB
- 2011-2-15
-
本附件包括：
- loglin1.sav
- telco.sav
- Cars-聚类分析.sav
- comp.sav
- cox.sav
- Factor.sav
- GSS93 subset-对应分析.sav
- Irisdat.sav
- lifetab.sav
- Nations.sav
- Poverty.sav
- ships.sav
- student.sav
- 121.89 KB
- 2009-10-22
-
本附件包括：
- loglin1.sav
- telco.sav
- Cars-聚类分析.sav
- comp.sav
- cox.sav
- Factor.sav
- GSS93 subset-对应分析.sav
- Irisdat.sav
- lifetab.sav
- Nations.sav
- Poverty.sav
- ships.sav
- student.sav
- 121.89 KB
- 2009-10-22
-
332903.rar
郭志刚 SPSS数据.rar本附件包括：- EX1.SAV
- EX1.DAT
- CANCORR-SPSS10.SPS
- Ex1.sps
- EX2.DAT
- Ex2.sps
- Ex3.sps
- EX4.DAT
- Ex4.sps
- EX5.DAT
- Ex5.sps
- filelist.txt
- LOGLINEAR-SPSS10.SPS
- St_in_cm.sps
- STUD_30.SAV
- STUD_CM.LS8
- Stud_lis.sps
- Stud_prl.sps
- STUD1000.SAV
- stud30.dat
- STUD30_L.LS8
- STUD30_P.PR2
- student.dat
- STUDENT.FIT
- STUDENT.LS8
- STUDENT.OUT
- STUDENT.PDM
- STUDENT.PR2
- T12_1.SAV
- T12_3.sav
- T12_5.sav
- T14_1.sav
- T14_10.sps
- T14_2.sps
- T14_9.sav
- T2_1.SAV
- T2_2.SAV
- T2_7.SAV
- T3_2.SAV
- T4_7.sav
- T6_1.sav
- T7_11.sav
- T8_1.SAV
- T9_1.sav
- 重新印刷的补充说明.doc
- 44.68 KB
- 2009-6-3
-
312722.zip
[分享]FREE@The Oxford MFE Toolbox 敬请关注本附件包括：- stdtloglik.m
- aparch_loglikelihood.m
- gedloglik.m
- normloglik.m
- skewtloglik.m
- skewtpdf.m
- skewtrnd.m
- spacf.m
- stdtrnd.m
- tarch.m
- tarch_core.m
- tarch_display.m
- tarch_itransform.m
- tarch_likelihood.m
- tarch_parameter_check.m
- tarch_simulate.m
- tarch_starting_values.m
- tarch_tester.m
- tarch_transform.m
- tdis_inv.m
- tsresidualplot.m
- vectorar.m
- vectorarvar.m
- x2mdate.m
- aparch_core.c
- armaxerrors.c
- armaxfilter_core.c
- egarch_core.c
- tarch_core2.c
- ARMAX.fig
- ARMAX_about.fig
- ARMAX_close_dialog.fig
- ARMAX_viewer.fig
- acf.m
- aicsbic.m
- aparch.m
- aparch_core.m
- aparch_display.m
- aparch_itransform.m
- aparch_likelihood.m
- aparch_parameter_check.m
- aparch_simulate.m
- aparch_starting_values.m
- aparch_tester.m
- aparch_transform.m
- arma_forecaster.m
- armaroots.m
- ARMAX.m
- ARMAX_about.m
- ARMAX_close_dialog.m
- ARMAX_viewer.m
- armaxerrors.m
- armaxfilter.m
- armaxfilter_core.m
- armaxfilter_likelihood.m
- armaxfilter_simulate.m
- augdf.m
- augdf_cvsim_tieup.m
- augdfautolag.m
- augdfcv.m
- berkowitz.m
- c2mdate.m
- ccc_ivech.m
- ccc_mvgarch.m
- ccc_mvgarch_full_likelihood.m
- ccc_mvgarch_parameter_check.m
- ccc_mvgarch_simulate.m
- ccc_vech.m
- chi2cdf.m
- covnw.m
- covvar.m
- dcc_mvgarch.m
- dcc_mvgarch_full_likelihood.m
- dcc_mvgarch_likelihood.m
- dcc_mvgarch_parameter_check.m
- dcc_mvgarch_parameter_itransform.m
- dcc_mvgarch_parameter_transform.m
- dcc_univariate_simulate.m
- egarch.m
- egarch_core.m
- egarch_display.m
- egarch_itransform.m
- egarch_likelihood.m
- egarch_nlcon.m
- egarch_parameter_check.m
- egarch_simulate.m
- egarch_starting_values.m
- egarch_transform.m
- englegranger.m
- experim.m
- gedrnd.m
- grangercause.m
- hessian_2sided.m
- hessian_2sided_nrows.m
- impulseresponse.m
- inverse_ar_roots.m
- iscompatible.m
- ivech.m
- jarquebera.m
- kolmogorov.m
- kscritical.m
- kurtosis.m
- ljungbox.m
- lmtest1.m
- lr.m
- mprint.m
- newlagmatrix.m
- norm_pdf.m
- normcdf.m
- norminv.m
- normpdf.m
- npdf2.m
- ols.m
- olsnw.m
- pacf.m
- pltdens.m
- robustvcv.m
- sacf.m
- skewness.m
- skewtcdf.m
- skewtinv.m
- 217.91 KB
- 2009-4-8
-
223032.rar
【合集】100篇准备金文章本附件包括：- 用双广义线性模型预测非寿险未决赔款准备金.pdf
- ESTIMATING THE WORKERS’ COMPENSATION TAIL RICHARD E. SHERMAN AND GORDON F. DISS .pdf
- ESTIMATORS AND BOOTSTRAP CONFIDENCE INTERVALS FOR RUIN PROBABILITIES .pdf
- FITTING TWEEDIE'S COMPOUND POISSON MODEL TO INSURANCE CLAIMS DATA.pdf
- Generalized Linear Models Beyond the Exponential Family with Loss Reserve Applications.pdf
- GLM Basic Modeling Avoiding Common Pitfalls.pdf
- GLM III Advanced Modeling Strategy.pdf
- IBNR FACTORS.pdf
- IBNR Reserve Under a Loglinear Location-Scale Regression Model.pdf
- IBNR索赔准备金均匀最小方差的无偏估计.pdf
- Interpretations of Semi-Parametric Mixture Models.pdf
- Largest Claims Reinsurance Premiums under Possible Claims Dependence.pdf
- Local Mixtures and Exponential Dispersion Models.pdf
- Loss Development Using Credibility.pdf
- LOSS RESERVING METHODS.pdf
- Loss Reserving Using Claim-Level Data.pdf
- Loss Reserving with Limited Data.pdf
- Mack_Venter.pdf
- Measuring the Variability of Chain Ladder Reserve Estimates.pdf
- Method of Testing Loss Reserves.pdf
- Methods and Models of Loss Reserving Based on Run-Off Triangles_ A Unifying Survey.pdf
- methods for IBNR.pdf
- MODEL FOR IBNR CLAIMS.pdf
- On the Analysis of the Truncated Generalized Poisson Distribution Using a Bayesian Method.pdf
- On the Distribution of Discounted Loss Reserves Using Generalized Linear Models.pdf
- On the Distribution of Discounted Loss.pdf
- Parameter Estimation for Bornhuetter_Ferguson.pdf
- Predictive Distributions for Reserves which Separate True IBNR.pdf
- Refining Reserve Runoff Ranges.pdf
- report on An approach to the analysis of claims experience in excess of loss reinsurance.pdf
- Some remarks on IBNR evaluation techniques.pdf
- STOCHASTIC CLAIMS INFLATION IN IBNR.pdf
- STOCHASTIC CLAIMS RESERVING IN GENERAL INSURANCE By P. D. England and R. J. Verrall.pdf
- Stochastic ReservingMack and Bootstrapping.pdf
- THE ACTUARY AND IBNR.pdf
- THE CLAIMS RESERVING PROBLEM IN NON-LIFE INSURANCE SOME STRUCTURAL IDEAS.pdf
- The Estimation Error in the Chain-Ladder Reserving Method_A Bayesian Approach.pdf
- The Modified Bornhuetter-Ferguson Approach To IBNR Allocation.pdf
- The Path of the Ultimate Loss Ratio estimate..pdf
- The Path of the Ultimate Loss Ratio Estimate.pdf
- The Prediction Error of the Chain Ladder Method Applied to Correlated Run-off Triangles.pdf
- Using Claim Department Work Measurement Systems to Determine Claim Adjustment Expense Reserves.pdf
- Variance and Covariance in Reserves Due to Inflation.pdf
- Which Stochastic Model is Underlying the Chain Ladder Method.pdf
- 保险公司IBNR准备金财务规定的实证研究.pdf
- 产险业已发生已报案未决赔款准备金评估差异性实证分析.pdf
- 非寿险责任准备金评估.pdf
- 广义线性模型在非寿险精算中的应用及其研究进展.pdf
- 广义线性模型在汽车保险定价的应用.pdf
- 我国保险公司IBNR准备金的财务核算内涵.pdf
- 修正IBNR法的算法及其简化.pdf
- ESTIMATING THE TAILS OF LOSS SEVERITY DISTRIBUTIOINS .pdf
- 27.06 MB
- 2008-6-27
-
212642.zip
EVIM A Software Package for Extreme Value Analysis in MATLAB本附件包括：- negloglikgev.m
- negloglikgpd.m
- negloglikpot.m
- parloglik.m
- den.m
- emplot.m
- evim.pdf
- exindex.m
- findthresh.m
- gev.m
- gpd.m
- gpd_q.m
- hessi.m
- hessigev.m
- hessigpd.m
- hessipot.m
- hillplot.m
- meplot.m
- nlcongpd.m
- pgev.m
- pgpd.m
- plot_gev.m
- plot_gpd.m
- plot_pot.m
- plotgpdpot.m
- pot.m
- ppoints.m
- qgev.m
- qgpd.m
- qplot.m
- quant.m
- records.m
- rgev.m
- rgpd.m
- shape2.asv
- shape2.m
- shape.asv
- shape.m
- surecol.m
- block.m
- bmw.mat
- cummax.m
- dan.mat
- decluster.m
- 311.57 KB
- 2008-5-15
-
127131.rar
中山大学loglinear model讲义本附件包括：- Log-linear model.doc
- 22.59 KB
- 2007-6-17
-
127130.rar
中山大学loglinear model讲义本附件包括：- Log-linear model.doc
- 22.59 KB
- 2007-6-17
-
101315.zip
[下载]宏观经济学-1本附件包括：- logli.pdf
- lecture1.pdf
- lecture2.pdf
- lecture3.pdf
- lecture4.pdf
- lecture5.pdf
- lecture6.pdf
- lecture7.pdf
- lecture8.pdf
- syllabus.pdf
- 1.26 MB
- 2007-3-22
-
88237.zip
Matlab program for mixed logit (Data and Program)本附件包括：- loglik.m
- ReadMe.txt
- mxlmsl.m
- myrunKT.out
- data.txt
- makedraws.m
- trans.m
- check.m
- der.m
- doit.m
- llgrad2.m
- 63.75 KB
- 2007-1-30
-
30685.zip
[推荐]Statistics Ebooks本附件包括：- 08 loglinear models for contingency tables.pdf
- 09 building and extending loglinear_logit models.pdf
- 00 frontmatter.pdf
- 01 introduction - distributions and inference for categorical data.pdf
- 02 describing contingency tables.pdf
- 03 inference for contingency tables.pdf
- 04 introduction to generalized linear models.pdf
- 05 logistic regression.pdf
- 06 building and applying logistic regression models.pdf
- 07 logit models for multinomial responses.pdf
- 10 models for matched pairs.pdf
- 11 analyzing repeated categorical response data.pdf
- 12 random effects.pdf
- 13 other mixture models for categorical data.pdf
- 14 asymptotic theory for parametric models.pdf
- 15 alternative estimation theory for parametric models.pdf
- 16 historical tour of categorical data analysis.pdf
- 17 appendix a - using computer software.pdf
- 18 appendix b - chi-squared distribution values.pdf
- 19 references.pdf
- 20 examples index.pdf
- 21 author index.pdf
- 22 subject index.pdf
- 23 wiley series in probability and statistics.pdf
- 4.78 MB
- 2005-10-13
-
12383.rar
请教最大似然估计本附件包括：- Eviews- Loglike(Manual).PDF
- 496.1 KB
- 2005-4-16
-
12111.zip
[下载]Alan Agresti.Categorical Data Analysis本附件包括：- 08 loglinear models for contingency tables.pdf
- 09 building and extending loglinear_logit models.pdf
- 00 frontmatter.pdf
- 01 introduction - distributions and inference for categorical data.pdf
- 02 describing contingency tables.pdf
- 03 inference for contingency tables.pdf
- 04 introduction to generalized linear models.pdf
- 05 logistic regression.pdf
- 06 building and applying logistic regression models.pdf
- 07 logit models for multinomial responses.pdf
- 10 models for matched pairs.pdf
- 11 analyzing repeated categorical response data.pdf
- 12 random effects.pdf
- 13 other mixture models for categorical data.pdf
- 14 asymptotic theory for parametric models.pdf
- 15 alternative estimation theory for parametric models.pdf
- 16 historical tour of categorical data analysis.pdf
- 17 appendix a - using computer software.pdf
- 18 appendix b - chi-squared distribution values.pdf
- 19 references.pdf
- 20 examples index.pdf
- 21 author index.pdf
- 22 subject index.pdf
- 23 wiley series in probability and statistics.pdf
- 4.78 MB
- 2005-4-13
-
9492.zip
[下载]Statistical Methods for Categorical Data Analysis本附件包括：- 08 loglinear models for contingency tables.pdf
- 09 building and extending loglinear_logit models.pdf
- 00 frontmatter.pdf
- 01 introduction - distributions and inference for categorical data.pdf
- 02 describing contingency tables.pdf
- 03 inference for contingency tables.pdf
- 04 introduction to generalized linear models.pdf
- 05 logistic regression.pdf
- 06 building and applying logistic regression models.pdf
- 07 logit models for multinomial responses.pdf
- 10 models for matched pairs.pdf
- 11 analyzing repeated categorical response data.pdf
- 12 random effects.pdf
- 13 other mixture models for categorical data.pdf
- 14 asymptotic theory for parametric models.pdf
- 15 alternative estimation theory for parametric models.pdf
- 16 historical tour of categorical data analysis.pdf
- 17 appendix a - using computer software.pdf
- 18 appendix b - chi-squared distribution values.pdf
- 19 references.pdf
- 20 examples index.pdf
- 21 author index.pdf
- 22 subject index.pdf
- 23 wiley series in probability and statistics.pdf
- 4.78 MB
- 2005-3-2
-
9113.zip
[下载]gauss_maxlik本附件包括：- ploglog.src
- maxlik.lcg
- count.lcg
- gauss.lcg
- maxlik.lcg.BAK
- pgraph.lcg
- user.lcg
- fastpflcl.src
- fastbayes.src
- fastboot.src
- fastmax.src
- maxlik.dec
- fastprof.src
- fastutil.src
- maxbayes.src
- maxblim.src
- maxboot.src
- maxdens.src
- maxhist.src
- maxlik.src
- maxpflcl.src
- maxprof.src
- maxutil.src
- mlcheck.src
- mlgradre.src
- base10.src
- cdfchii.src
- cdfnonc.src
- cmtools.src
- coord.src
- corr.src
- count.dec
- count.ext
- count.src
- countwts.src
- crossprd.src
- cumprodc.src
- cumsumc.src
- datalist.src
- datatran.src
- dataxchn.dec
- dataxchn.ext
- dataxchn.src
- dens.g
- design.src
- dfft.src
- dffti.src
- diag.src
- dos.src
- ds.sdf
- ds.src
- dstat.src
- eig.dec
- eig.ext
- eigcg.src
- eigch.src
- eigrg.src
- eigrs.src
- eqsolve.dec
- eqsolve.ext
- eqsolve.src
- exctsmpl.src
- expgam.src
- expon.src
- fcompare.dec
- fcompare.ext
- fcompare.src
- fftm.src
- finprocs.dec
- finprocs.ext
- finprocs.src
- finutils.src
- flibuff.dec
- flibuff.ext
- gauss.dec
- gauss.ext
- gauss.src
- getpath.src
- gradmt.src
- gradp.src
- hessmt.src
- hessp.src
- holidays.asc
- hurdlep.src
- indexcat.src
- indices.src
- indices2.src
- indsav.src
- integral.dec
- integral.ext
- integral.src
- intgrat.src
- intrsect.src
- intsimp.src
- keys.h
- lag.src
- lapeig.src
- lapschur.src
- lapsvd.src
- lncdfn.dec
- lncdfn.ext
- lncdfn.src
- lnfact.src
- lnpdfn.src
- loess.dec
- loess.ext
- loess.src
- machconst.src
- maxlik.ext
- median.src
- medit.src
- momentd.src
- nametype.src
- negbin.src
- null.src
- ols.dec
- ols.ext
- ols.src
- olsqr.src
- optim.sdf
- optim.src
- pareto.src
- parse.dec
- parse.ext
- parse.src
- pause.src
- paxnum.src
- pbar.src
- pbox.src
- pcart.src
- pcart3d.src
- pcontour.src
- pdraw.src
- peps.dec
- peps.ext
- peps.src
- pgraph.dec
- pgraph.ext
- pgraph.src
- phist.src
- play.src
- plogx.src
- plogy.src
- poisson.src
- polar.src
- poly.dec
- poly.ext
- poly.src
- polyint.src
- polymat.src
- ppc.src
- pscale.src
- psurface.src
- putf.src
- pv.sdf
- pv.src
- pwindow.src
- pxy.src
- pxyz.src
- qnewton.dec
- qnewton.ext
- qnewton.src
- qprog.dec
- qprog.ext
- qprog.src
- qqr.src
- qr.dec
- qr.ext
- qr.src
- qrsol.src
- qtyr.src
- quantile.src
- qyr.src
- randkm.src
- randlc.src
- random.src
- rangechk.src
- recserrc.src
- ribesl.src
- rnde.g
- rref.src
- saveload.src
- schtoc.src
- seqai.g
- seqas.g
- setdif.src
- showpath.src
- sortd.src
- sortmc.src
- sparse.dec
- sparse.ext
- sparse.src
- spline.src
- sqpsolve.dec
- sqpsolve.ext
- sqpsolve.src
- sqpsolvemt.sdf
- sqpsolvemt.src
- strput.src
- subdat.g
- subdatd.g
- subdatv.g
- subscat.src
- supreme.src
- supreme2.src
- svd.dec
- svd.ext
- svd.src
- system.dec
- system.ext
- system.src
- time.src
- toeplitz.src
- token.src
- trig.src
- tsutil.src
- varmaml.src
- vars.src
- vartype.src
- vpack.src
- wait.src
- waitc.src
- xls.src
- x_indcv.src
- 454.35 KB
- 2005-2-22
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