Maximal invariant likelihood based testing of semi-linear models
نویسندگان
چکیده
منابع مشابه
Testing Linear-Invariant Non-Linear Properties
We consider the task of testing properties of Boolean functions that are invariant under linear transformations of the Boolean cube. Previous work in property testing, including the linearity test and the test for Reed-Muller codes, has mostly focused on such tasks for linear properties. The one exception is a test due to Green for “triangle freeness”: a function f : {0, 1}n → {0, 1} satisfies ...
متن کاملTesting Linear-Invariant Function Isomorphism
A function f : F2 → {−1, 1} is called linear-isomorphic to g if f = g ◦ A for some non-singular matrix A. In the g-isomorphism problem, we want a randomized algorithm that distinguishes whether an input function f is linear-isomorphic to g or far from being so. We show that the query complexity to test g-isomorphism is essentially determined by the spectral norm of g. That is, if g is close to ...
متن کاملAn Approach to Deriving Maximal Invariant Statistics
Invariance principles is one of the ways to summarize sample information and by these principles invariance or equivariance decision rules are used. In this paper, first, the methods for finding the maximal invariant function are introduced. As a new method, maximal invariant statistics are constructed using equivariant functions. Then, using several equivariant functions, the maximal invariant...
متن کاملThe Maximal Controlled Invariant Set of Switched Linear Systems
We study the construction of the maximal controlled invariant set of switched linear systems. We consider two cases, based on whether fast switches are allowed or not. For both cases, iterative algorithms are given to construct such sets.
متن کاملSemi-parametric difference-based estimation of partial linear regression models
This article describes the plreg Stata command, which implements the difference-based algorithm for estimating the partial linear regression models.
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: Statistical Papers
سال: 2007
ISSN: 0932-5026,1613-9798
DOI: 10.1007/s00362-006-0342-7