Estimation of copolymer reactivity ratios: An example of nonlinear estimation
نویسندگان
چکیده
منابع مشابه
Reactivity ratios for organotin copolymer systems.
Di(tri-n-butyltin) itaconate (DTBTI) and monoethyl tributyltin fumarate (METBTF) were synthesized as organotin monomers. The organotin monomers were copolymerized with styrene (ST) and methyl methacrylate (MMA) via a free radical polymerization technique. The overall conversion was kept low (<or=15% wt/wt) for all studied samples and the copolymer composition was determined from tin analysis. T...
متن کاملEstimation of cumulative odds ratios.
PURPOSE Standard estimation of ordered odds ratios requires the constraint that the etiologic effects of exposure are homogenous across thresholds of the ordered response. We present a method to relax this often-unrealistic constraint. METHODS The kernel of the proposed method is the expansion of observed data into "person-thresholds." Using standard statistical software, for each subject we ...
متن کاملNonlinear Instrumental Variable Estimation of an Autoregression1
Instrumental variable (IV) estimation methods that allow for certain nonlinear functions of the data as instruments are studied. The context of the discussion is the simple unit root model where certain advantages to the use of nonlinear instruments are revealed. In particular, certain classes of IV estimators and associated t-tests are shown to have simpler (standard) limit theory in contrast ...
متن کاملOn an Aspect of Optimal Nonlinear Estimation
This paper considers the problem of optimal estimation of a random variable X based on an observation denoted by a random vector Y. A mild restriction on the regular conditional distribution function of X given o(Y) is presented which ensures that E[Q,(X-g(Y))] is minimized for any cost function Q, that is nonnegative, even, and convex. Further, we show that given any real valued Bore1 measurab...
متن کاملimpact of imputation of missing data on estimation of survival rates: an example in breast cancer
background: multifactorial regression models are frequently used in medicine to estimate survival rate of patients across risk groups. however, their results are not generalisable, if in the development of models assumptions required are not satisfied. missing data is a common problem in pathology. the aim of this paper is to address the danger of exclusion of cases with missing data, and to h...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Polymer Science Part A: General Papers
سال: 1964
ISSN: 0449-2951,1542-6246
DOI: 10.1002/pol.1964.100020841