极值法膜厚控制的误差分析及其改进设计

分析了光学薄膜厚度的极值控制法,并利用矩阵的方法给出了极值法膜厚控制误差。基于极值法膜厚控制的原理,利用由IC/5薄膜沉积控制器和晶震探头组成的反馈系统,控制蒸发速率的大小,光控的信号由可编程的计算机探测接收。分别对ZrO2/SiO2,膜料进行了两组交替镀制实验测试。结果表明,整个系统稳定性好,自动化程度高,膜厚控制精度在1 02%左右。     

一类新的伪凸函数

在实践域上定义并讨论了γ－伪凸函数的性质，利用γ－次可微的定义，讨论了新型函数类的极值性质，指出通常伪凸函数是γ－伪凸的。     

最近核邻型的光滑条件分位过程强逼近及其应用

文中证明了核邻型的光滑条件分位过程的强逼近，获得了其一致逼近速度．并由此结果推导出了光滑条件分位估计的渐近正态性、弱收敛和对数律等深刻结果．     

“Anti-realism”: answer to phil Dowe

It is quite true that my intersubjectivity is not deduced but assumed. Using the opportunity provided by Dowe's observations, I summarize the reasons that have led me to this choice.     

Bayesian networks with a logistic regression model for the conditional probabilities

Logistic regression techniques can be used to restrict the conditional probabilities of a Bayesian network for discrete variables. More specifically, each variable of the network can be modeled through a logistic regression model, in which the parents of the variable define the covariates. When all main effects and interactions between the parent variables are incorporated as covariates, the conditional probabilities are estimated without restrictions, as in a traditional Bayesian network. By incorporating interaction terms up to a specific order only, the number of parameters can be drastically reduced. Furthermore, ordered logistic regression can be used when the categories of a variable are ordered, resulting in even more parsimonious models. Parameters are estimated by a modified junction tree algorithm. The approach is illustrated with the Alarm network.     

Characterization based on conditional distributions

The field of application of a result given by Singh and Vasudeva (1984, J. Indian Statist. Assoc., 22, 93–96) which provides a way of characterizing the distribution of a random variable X, through conditional distributions of a second variable Z, given X, is extended.     

Simple linear approximations to the likelihood equation for combining evidence in multiple 2×2 tables: A critique of conventional procedures

Summary The conventional procedures for a common odds ratio in multiple 2×2 tables are explored and critiqued. Three types of linear approximation to the likelihood equations under some models of common measures of association are used to derive the popular conventional estimators and test statistics. Some of them are derived using the model of the common standardized difference which is an unacceptable measure. The derivation provides us with some characteristics of the procedures. The advantages of procedures based on the conditional and unconditional likelihoods are discussed. The Institute of Statistical Mathematics     

A conditional limit construction of the normal probability density

Summary It is shown that a normal probability density can be characterized as a limit of conditional probability densities of i.i.d. uniform random variables.     

The exact distribution of extremes of a non-gaussian process

The exact distribution of extremes of a non-gaussian stationary discrete process is obtained and their crossing intervals are studied in terms of the autocorrelation coefficients for any level of crossing. This process is an important model for some physical magnitudes.