MULTIPLE COMPARISONS IN THE GMANOVA MODEL WITH COVARIANCE STRUCTURES
نویسندگان
چکیده
منابع مشابه
investigating the feasibility of a proposed model for geometric design of deployable arch structures
deployable scissor type structures are composed of the so-called scissor-like elements (sles), which are connected to each other at an intermediate point through a pivotal connection and allow them to be folded into a compact bundle for storage or transport. several sles are connected to each other in order to form units with regular polygonal plan views. the sides and radii of the polygons are...
Discovering Sparse Covariance Structures with the Isomap
Regularization of covariance matrices in high dimensions is usually either based on a known ordering of variables or ignores the ordering entirely. This paper proposes a method for discovering meaningful orderings of variables based on their correlations using the Isomap, a non-linear dimension reduction technique designed for manifold embeddings. These orderings are then used to construct a sp...
متن کاملHierarchical Models with Block Circular Covariance Structures
Hierarchical linear models with a block circular covariance structure are considered. Sufficient conditions for obtaining explicit and unique estimators for the variance-covariance components are derived. Different restricted models are discussed and maximum likelihood estimators are presented.
متن کاملMultiple Comparisons with the BestUsing Common Random
Suppose that there are k 2 diierent systems (i.e., stochastic processes), where each system has an unknown steady-state mean performance. We consider the problem of running a single-stage simulation using common random numbers to construct simultaneous conndence intervals for i ? max j6 =i j , i = 1; 2; : : : ; k. This is known as multiple comparisons with the best (MCB). Under an assumption th...
متن کاملMultiple Comparisons with the Best ROC Curve
The accuracy of a medical diagnostic tool depends on its specificity, the probability that it classifies a normal person as normal, and its sensitivity, the probability that it classifies a diseased person as diseased. The receiver operating characteristic (ROC) curve of such a tool is its sensitivity plotted against (1 specificity) as the threshold defining “normal” versus “diseased” ranges ov...
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 THE JAPAN STATISTICAL SOCIETY
سال: 1996
ISSN: 1882-2754,1348-6365
DOI: 10.14490/jjss1995.26.47