岭回归分析的SAS程序设计

田俊．岭回归分析的ＳＡＳ程序设计．岭回归分析方法是传统的多元回归分析方法的一个补充,在实际工作中经常使用。但是在标准统计软件ＳＡＳ中没有专门的岭回归分析过程,本文介绍如何通过设置伪样品后使用ＳＡＳ进行岭回归分析     

微波多普勒反射计数据分析的一种优化方法

结合对多普勒频谱的分析,提出一种基于双高斯拟合的轴对称-非对称谱(SAS)分析方法。在此方法下,功率谱主要由轴对称功率谱和非轴对称功率谱两部分组成。前者主要由等离子体截止层密度的扰动调制决定,后者主要由波数为k _⊥=2k₀sinθ 的湍流的极向密度扰动决定。在分析多普勒反射计的数据时,相较于常用的频谱重心(COG)分析方法和相位微分(δ-phase)法,SAS 谱分析不仅提高了求取多普勒频移的准确性,同时还可以获取等离子体中波数为k_⊥ 的极向湍流的密度扰动强度和截止层的密度扰动强度。     

论均数的多重比较及其SAS实施

本文论述了各种多重比较法的产生背景及其具体实施,并分析了选用原则,给出了各种方法的完整SAS过程,服务于科学试验实践。     

The Application of Kernel Smoothing to Time Series Data

There are already a lot of models to fit a set of stationary time series, such as AR, MA, and ARMA models. For the non-stationary data, an ARIMA or seasonal ARIMA models can be used to fit the given data. Moreover, there are also many statistical softwares that can be used to build a stationary or non-stationary time series model for a given set of time series data, such as SAS, SPLUS, etc. However, some statistical softwares wouldn＇t work well for small samples with or without missing data, especially for small time series data with seasonal trend. A nonparametric smoothing technique to build a forecasting model for a given small seasonal time series data is carried out in this paper. And then, both the method provided in this paper and that in SAS package are applied to the modeling of international airline passengers data respectively, the comparisons between the two methods are done afterwards. The results of the comparison show us the method provided in this paper has superiority over SAS＇s method.     

Note on “Obtaining the Maximum Likelihood Estimates in Incomplete R × C Contingency Tables Using a Poisson Generalized Linear Model”

Abstract

This note extends the construction of the design matrix used for estimating cell probabilities with ignorable missing data described by Lipsitz, Parzen, and Molenberghs. A reformulation for the general case of an n-way table is described and implemented in a SAS macro program. The macro constructs this design matrix and offset variable, estimates the cell probabilities, and returns a table with the estimates, their standard errors, and fitted cell frequencies.     

偏最小二乘法在回归设计多因变量建模中的应用及其优化

本文利用国际通用统计软件SAS,探讨偏最小二乘法在二次回归旋转设计中多因变量回归建模的技术;同时,应用国际优化大师L ingo软件对多目标进行优化,给出了最优的工艺参数值。