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Personal bibliography of
Kenneth Willcox Wachter
[ CalNetDS
- MGP
- MathScinet
]
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Found 4 works with YEAR equal to " 1982"
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George R. Merriam and K.W. Wachter
Algorithms for the study of episodic hormone secretion
American Journal of Physiology 243, E310--E318 (1982).
[Link]
[GScholar?]
[BibTeX]
Abstract: There is no generally accepted procedure for identifying ultradian pulsations in hormonal time series. We suggest an approach based on removing long-term trends, such as diurnal rhythms, from the series of observations; identifying peaks in the residual series; and resolving each peak, if appropriate, into overlapping secretory episodes. The first step uses a robust smoothing technique to generate a smoothed series that omits peaks or trends with time constants less than 6--12 h. The smoothed series is subtracted from the original, and in the second step their difference, the residual series, is examined for the presence of peaks. The standard deviation of the assay is calculated at each point, and the residuals are rescaled in terms of this unit. Peaks are identified as individual subseries elevated above the base line of duration $n$, all the points in which have magnitude at least $G(n)$, where the values of $G$ are cut-off criteria based on the width of the peak. Thus the algorithm selects both narrow high peaks and broader peaks that may be lower. The user selects the $G(n)$ for each hormone based on theoretical considerations or a set of calibration data series. Points that meet these criteria are identified as belonging to peaks and flagged. To assure that the smoothing process is not influenced by runs of closely spaced peaks, these flagged points are then assigned a reduced weight, and the smoothing is repeated; the revised residuals are then reexamined. After these two steps are iterated until there are no further changes, each peak is examined once more to determine whether it can be resolved into more than one overlapping peak. Finally, the process collects statistics on the average frequency and amplitude of the peaks. We have developed computer programs to carry out these algorithms.
@article{MERRIAM:1982:AFTSOE,
AUTHOR = {Merriam, George R. and Wachter, K.W.},
TITLE = {Algorithms for the study of episodic hormone secretion},
JOURNAL = {American Journal of Physiology},
YEAR = {1982},
VOLUME = {243},
PAGES = {E310--E318},
URL = {http://ajpendo.physiology.org/cgi/content/abstract/243/4/E310},
ABSTRACT = {There is no generally accepted procedure for identifying ultradian
pulsations in hormonal time series. We suggest an approach based on
removing long-term trends, such as diurnal rhythms, from the series
of observations; identifying peaks in the residual series; and
resolving each peak, if appropriate, into overlapping secretory
episodes. The first step uses a robust smoothing technique to
generate a smoothed series that omits peaks or trends with time
constants less than 6--12 h. The smoothed series is subtracted from
the original, and in the second step their difference, the residual
series, is examined for the presence of peaks. The standard
deviation of the assay is calculated at each point, and the
residuals are rescaled in terms of this unit. Peaks are identified
as individual subseries elevated above the base line of duration
$n$, all the points in which have magnitude at least $G(n)$, where
the values of $G$ are cut-off criteria based on the width of the
peak. Thus the algorithm selects both narrow high peaks and broader
peaks that may be lower. The user selects the $G(n)$ for each
hormone based on theoretical considerations or a set of calibration
data series. Points that meet these criteria are identified as
belonging to peaks and flagged. To assure that the smoothing
process is not influenced by runs of closely spaced peaks, these
flagged points are then assigned a reduced weight, and the
smoothing is repeated; the revised residuals are then reexamined.
After these two steps are iterated until there are no further
changes, each peak is examined once more to determine whether it
can be resolved into more than one overlapping peak. Finally, the
process collects statistics on the average frequency and amplitude
of the peaks. We have developed computer programs to carry out
these algorithms.},
}
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Roderick Floud and K.W. Wachter
Poverty and physical stature: Evidence on the Standard of Living of London Boys 1770-1870
Social Science History 6, 422--452 (1982).
no abstract
[Link]
[GScholar?]
[BibTeX]
@article{FLOUD:1982:PAPS,
AUTHOR = {Floud, Roderick and Wachter, K.W.},
TITLE = {Poverty and physical stature: Evidence on the Standard of Living of
London Boys 1770-1870},
JOURNAL = {Social Science History},
VOLUME = {6},
YEAR = {1982},
PAGES = {422--452},
URL = {http://www.jstor.org/pss/1170971},
NOTE = {no abstract},
}
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K.W. Wachter and James Trussell
Estimating historical heights
Journal of the American Statistical Association 77, 279--303 (1982).
invited discussion paper of the applications section, with comments and rejoinder by authors (pp.301-303)
[GScholar?]
[BibTeX]
[Editorial notes]
@article{WACHTER:1982:EHH,
AUTHOR = {Wachter, K.W. and Trussell, James},
TITLE = {Estimating historical heights},
JOURNAL = {Journal of the American Statistical Association},
VOLUME = {77},
YEAR = {1982},
PAGES = {279--303},
NOTE = {invited discussion paper of the applications section, with comments
and rejoinder by authors (pp.301-303)},
EDNOTES = {<access>DOI and abstract could possibly be found via CIS or MR},
}
<access>DOI and abstract could possibly be found via CIS or MR
-
K.W. Wachter
Applied heuristics
In Gegenbild, Reihenfolge, Sprung: An Essay on Related Figures of Argument in Walter Benjamin (H. Stern, editor), Ottendorfer Series Vol. 15, Peter Lang. Frankfurt-am-Main (1982).
[GScholar?]
[BibTeX]
[Editorial notes]
@inbook{WACHTER:1982:AH,
AUTHOR = {Wachter, K.W.},
TITLE = {Applied heuristics},
EDITOR = {Stern, H.},
BOOKTITLE = {Gegenbild, Reihenfolge, Sprung: An Essay on Related Figures of
Argument in Walter Benjamin},
SERIES = {Ottendorfer Series},
ISBN = {326104876X, 9783261048769},
VOLUME = {15},
YEAR = {1982},
PUBLISHER = {Peter Lang},
ADDRESS = {Frankfurt-am-Main},
EDNOTES = {<norecord><bookdetails>Unable to find a TOC to deduce page numbers
or confirm presence of this piece. Also unsure about SERIES. And
the EDITOR is problematic, since Google Books says "Originally a
dissertation in Comparative Literature presented to the Faculty of
the Graduate School of Yale University (1978).", suggesting Stern
is the author, and Wachter possibly contributed some technical
appendix. Wachter may be able to clarify.},
}
<norecord>
<bookdetails>Unable to find a TOC to deduce page numbers or confirm presence of this piece. Also unsure about SERIES. And the EDITOR is problematic, since Google Books says "Originally a dissertation in Comparative Literature presented to the Faculty of the Graduate School of Yale University (1978).", suggesting Stern is the author, and Wachter possibly contributed some technical appendix. Wachter may be able to clarify.
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