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Table 1. Baseline monitoring for pesticides in Sheridan County, late summer 1999 and spring 2000.

in unknown title
by unknown authors

Table 1. Baseline monitoring for pesticides in Big Horn County, late summer and fall/winter 1999 and spring 2000.

in unknown title
by unknown authors

Table 4A. Total distribution of observations of the most com- mon bird species in late summer 1980-81 and 1988-89.

in Landscape Ecology vol. 9 no. 2 pp (1994)
by Spb Academic Publishing, Lennart Hansson
"... In PAGE 9: ... Table4 B. Summer distribution of bird species according to numerical dominance in various sections of the clearcut-forest gradient.... ..."

Table 4B. Summer distribution of bird species according to numerical dominance in various sections of the clearcut-forest gradient. For further explanations, see Table 2B.

in Landscape Ecology vol. 9 no. 2 pp (1994)
by Spb Academic Publishing, Lennart Hansson
"... In PAGE 8: ... Table4 A. Total distribution of observations of the most com- mon bird species in late summer 1980-81 and 1988-89.... ..."

Table 2. Significant Design Improvements on the Houdini-II System

in Purpose of
by Po Se Of, Associated Tanks, Operable Unit
"... In PAGE 29: ...pplications. The final configuration was selected, and detailed design work began in late summer 1997. The Houdini-II design was finalized and approved in late November 1997. A number of the most significant design changes have been summarized in Table2 . The finished system was delivered to ORNL in September 1998.... ..."

Table 6: The solver of the charsets package of D. Wang Mathematica: Wolfram Research Inc. (WRI) launched in late summer 1996 the ver- sion 3.0 of Mathematica with serious improvements in almost all parts of the CAS. We experimented with the beta test version kindly supplied by WRI on a SUN-Sparc 10 (since the new release requires HP-UX 10.0 for HP). The improvements in the area of polynomial systems solving are mainly related to a new RootOf philosophy. To avoid the data type design trouble explained above, Mathematica 3.0 transforms each univariate polynomial equation f(x) = 0 of degree n to be solved into a functional symbol Root[f(x),k], k = 1; : : :; n, to address the di erent roots of f(x) individually. The list of solutions of f(x) = 0 then consists of exactly n items, possibly with repetitions, that are either of the form Root[f(x),k] if f(x) is irreducible or indecomposable (i.e. not of the form f(x) = g(h(x)) ) or are simpli ed by the obvious rules if f(x) is reducible or of small degree. For example, for poly = x5 ? x + 1 gt; Solve[poly == 0,x]

in unknown title
by unknown authors 1996
Cited by 1

Table 7: The solver of the charsets package of D. Wang

in About the Polynomial System Solve Facility of Axiom
by Hans-gert Gräbe 1996
"... In PAGE 21: ... But also in this implementation the Ritt-Wu method has some problems detecting and removing embedded solutions. Table7 contains more detailed results of our sample computations. Mathematica: In late summer 1996, Wolfram Research Inc.... ..."
Cited by 1

Table 9: Summary statistics

in DEMAND MANAGEMENT IN DECENTRALIZED LOGISTICS SYSTEMS AND SUPPLY CHAINS Approved by:
by Professor Julie Swann 2007
"... In PAGE 72: ... We observe that the demand for cars is highly seasonal with the peak seasons in late summer-early fall and late winter-early spring. Table9 summarizes the basic statistics related with the data sets for the compact, mid- size, and utility vehicle segments. Although these values may help to test the hypotheses, one should be careful using them because the registrations and the rebates are time series data with possible autocorrelations and therefore may lack independence.... ..."

Table 14 Summary Statistics, where CoV = std.dev mean

in unknown title
by unknown authors
"... In PAGE 22: ...) We also see in the same flgures that the demand for cars is highly seasonal with the peak seasons in late summer-early fall and late winter-early spring. Table14 summarizes the basic statistics related with the data sets. Although these values may help to answer the questions related with the rebate mean difierences and the sales variability difierences between the American and Japanese, one should be careful using them because the registrations and the rebates are time series data with possible autocorrelations and therefore may lack independence.... ..."

TABLE 1. Comparisons of line-by-line (LbL) and corre- lated k-distribution (ckd) calculations for the reduction in the ux from the surface to the top of the atmosphere F quot;(70), the upward ux at the top of the atmosphere F quot;(70), and the downward ux at the surface F#(0). The calculations utilized the McClatchey et al (1972) midlatitude summer pro le and included the CERES window channel instrument response function. The in- terval range is given in units of cm?1 while the uxes are given in units of Wm?2.

in .2 The Use Of Correlated
by Distributions To, David P. Kratz
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