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pro vyhledávání: '"Marianne Frisén"'
Autor:
Marianne Frisén
Publikováno v:
IIE Transactions. 46:759-769
Spatial surveillance is a special case of multivariate surveillance. Thus, in this review of spatial outbreak methods, the relation to general multivariate surveillance approaches is discussed. Different outbreak models are needed for different publi
Autor:
Marianne Frisén, Sven Knoth
Publikováno v:
Statistica Neerlandica. 66:357-379
Different change point models for AR(1) processes are reviewed. For some models, the change is in the distribution conditional on earlier observations. For others, the change is in the unconditional distribution. Some models include an observation be
Autor:
Linus Schiöler, Marianne Frisén
Publikováno v:
Journal of Applied Statistics. 39:223-242
Online monitoring is needed to detect outbreaks of diseases such as influenza. Surveillance is also needed for other kinds of outbreaks, in the sense of an increasing expected value after a constant period. Information on spatial location or other va
Autor:
Marianne Frisén
Publikováno v:
Production, Vol 21, Iss 2, Pp 235-241 (2011)
Industrial production requires multivariate control charts to enable monitoring of several components. Recently there has been an increased interest also in other areas such as detection of bioterrorism, spatial surveillance and transaction strategie
Autor:
Marianne Frisén
Publikováno v:
Quality and Reliability Engineering International. 27:611-621
An overview on surveillance in different areas is given. Even though methods have been developed under different scientific cultures, the statistical concepts can be the same. When the statistical problems are the same, progress in one area can be us
Publikováno v:
Communications in Statistics - Theory and Methods. 40:1821-1838
The relation between change points in multivariate surveillance is important but seldom considered. The sufficiency principle is here used to clarify the structure of some problems, to find efficient methods, and to determine appropriate evaluation m
Autor:
Marianne Frisén, Eva Andersson
Publikováno v:
Sequential Analysis. 28:434-454
The detection of a change from a constant level to a monotonically increasing (or decreasing) regression is of special interest for the detection of outbreaks of epidemics but is also of interest in other areas. A maximum likelihood ratio statistic f
Autor:
Marianne Frisén
Publikováno v:
Sequential Analysis. 28:310-337
The aim of sequential surveillance is on-line detection of an important change in an underlying process as soon as possible after the change has occurred. Statistical methods suitable for surveillance differ from hypothesis testing methods. In additi
Autor:
Marianne Frisén
Publikováno v:
Sequential Analysis. 28:386-393
Publikováno v:
Statistics. 44:107-117
A regression may be constant for small values of the independent variable (for example time), but then a monotonic increase starts. Such an ‘outbreak’ regression is of interest for example in the study of the outbreak of an epidemic disease. We g