994 resultados para ASHRAE Standard 55


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Light brown, coarse grained sediment with a few patches of a finer grained domain. Clasts range from small to medium in size. The finer grained domain mainly contains small sized grains that are very well dispersed. Clast shape ranges from angular to sub-rounded. Edge-to-edge grain crushing is common in the coarser domain, with a few grain stacks. The finer grained domain contains a few lineations.

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Brown sediment with grains ranging from small to medium in size. The sample mainly contains smaller clasts. Clast shape ranges from sub-angular to sub-rounded. Water escape structures and lineations can be seen in this sample. Grains stacking and comet structures are also present in minor amounts.

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This sample contains grains that range from small to large in size. The clast shape ranges from angular to rounded. Many grains are fractured and grain crushing is commonly seen. A few necking structures and rotation structures can also be seen.

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Dark brown sediment with areas of darker organic material. The clasts range from small to medium in size and angular to sub-rounded in shape. Lineations were abundant in this sample along with some rotation structures and common structures. A few grain stacks were also present.

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Brown sediment with clasts ranging from small to medium. The majority of the clasts are medium sized. Clasts range from sub-angular to sub-rounded in shape. Lineations are common in this sample along with edge-to-edge grain crushing. Comet structures can also be seen in minor amounts.

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Coarse sediment with grains ranging from small to large . Clast shape ranges from sub-angular to sub-rounded. Grain crushing is common throughout the sample, with many grains being crushed into one another. A few lineations and rotation structures can also be seen throughout.

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Light brown sediment with clasts ranging from small to large. The clast shape ranges from angular to rounded. Rotation structures are abundant in this sample. Some necking structures and comet structures can also be seen, along with a few lineations.

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List of prices totaling 7 pounds, 55 pence [no indication what this list refers to] Sept. 15, 1848.

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The Daily Standard, St. Catharines, Ontario. This paper contains an advertisement for James D. Tait Company and H.K. Woodruff is listed under the article “The Voice of the People” as an elected member of the Water Commission and an alderman January 2, 1900.

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The St. Catharines Standard supplement featuring a Tribute to the Father of Transportation, the Honorable William Hamilton Merritt, November 28, 1974.

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UANL

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This paper proposes finite-sample procedures for testing the SURE specification in multi-equation regression models, i.e. whether the disturbances in different equations are contemporaneously uncorrelated or not. We apply the technique of Monte Carlo (MC) tests [Dwass (1957), Barnard (1963)] to obtain exact tests based on standard LR and LM zero correlation tests. We also suggest a MC quasi-LR (QLR) test based on feasible generalized least squares (FGLS). We show that the latter statistics are pivotal under the null, which provides the justification for applying MC tests. Furthermore, we extend the exact independence test proposed by Harvey and Phillips (1982) to the multi-equation framework. Specifically, we introduce several induced tests based on a set of simultaneous Harvey/Phillips-type tests and suggest a simulation-based solution to the associated combination problem. The properties of the proposed tests are studied in a Monte Carlo experiment which shows that standard asymptotic tests exhibit important size distortions, while MC tests achieve complete size control and display good power. Moreover, MC-QLR tests performed best in terms of power, a result of interest from the point of view of simulation-based tests. The power of the MC induced tests improves appreciably in comparison to standard Bonferroni tests and, in certain cases, outperforms the likelihood-based MC tests. The tests are applied to data used by Fischer (1993) to analyze the macroeconomic determinants of growth.

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In this paper, we develop finite-sample inference procedures for stationary and nonstationary autoregressive (AR) models. The method is based on special properties of Markov processes and a split-sample technique. The results on Markovian processes (intercalary independence and truncation) only require the existence of conditional densities. They are proved for possibly nonstationary and/or non-Gaussian multivariate Markov processes. In the context of a linear regression model with AR(1) errors, we show how these results can be used to simplify the distributional properties of the model by conditioning a subset of the data on the remaining observations. This transformation leads to a new model which has the form of a two-sided autoregression to which standard classical linear regression inference techniques can be applied. We show how to derive tests and confidence sets for the mean and/or autoregressive parameters of the model. We also develop a test on the order of an autoregression. We show that a combination of subsample-based inferences can improve the performance of the procedure. An application to U.S. domestic investment data illustrates the method.

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We analyze an alternative to the standard rationalizability requirement for observed choices by considering non-deteriorating selections. A selection function is a generalization of a choice function where selected alternatives may depend on a reference (or status quo) alternative in addition to the set of feasible options. A selection function is non-deteriorating if there exists an ordering over the universal set of alternatives such that the selected alternatives are at least as good as the reference option. We characterize non-deteriorating selection functions in an abstract framework and in an economic environment.