Restricted Inference in Circular-Linear and Linear-Circular Regression
نویسندگان
چکیده
منابع مشابه
Linear and Circular Splicing Systems
We consider closure properties of classes of languages under the operation of iterated splicing. The main result is that full abstract families of languages are closed under splicing using a regular set of splicing rules. We have the same result for families of circular strings, with two extra assumptions: the languages in the abstract family must be closed under cyclic permutations and the spl...
متن کاملInverse circular-circular regression
The problem of determining the values of the independent variable given a value of the dependent variable is commonly referred to as the inverse regression problem. This problem is also encountered in real life with circular data and we refer to it in that context as the inverse circular regression problem. For such a problem, we develop distance-basedmethods, and parametric methods, where we u...
متن کاملLinear Multiuser Detectors using Linear, Circular and Concentric Circular Antenna Arrays in CDMA Communication Systems
The suitable use of an antenna array at the base station of a communication system results in improved Signal to Interference Ratio (SIR). In this paper, Linear Array (LA), Circular Array (CA) and Concentric Circular Antenna Array (CCAA) are used at the base station of a direct sequence code division multiple access (CDMA) systems. To suppress multiple access interference (MAI), the proposed sc...
متن کاملLinear and circular polarization in GRB afterglows
A certain degree of linear polarization has been measured in several GRB afterglows. More surprisingly, circular polarization has been recently measured in GRB121024A. For synchrotron emission, the polarization level depends on: (i) the local magnetic field orientation (ii) the geometry of the emitting region with respect to the line of sight and (iii) the electron pitch-angle distribution. For...
متن کاملA Circular–circular Regression Model
This paper provides a regression model in which both covariates and responses are angular variables. The regression curve is expressed as a form of the Möbius circle transformation. The angular error is assumed to follow a wrapped Cauchy or, equivalently, circular Cauchy distribution. A bivariate circular distribution is proposed to model our circular regression. Some properties of the regressi...
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: Sri Lankan Journal of Applied Statistics
سال: 2016
ISSN: 2424-6271,1391-4987
DOI: 10.4038/sljastats.v17i1.7844