APPENDIX 1: SAMPLE PROPERTY SALE AGREEMENT

2013 ◽  
pp. 331-335
Keyword(s):  
2014 ◽  
Vol 633 ◽  
pp. 476-479
Author(s):  
Zhao Yang Zeng ◽  
Heng Liu ◽  
Yi Min Guo

It is generally believed that materials with high imaginary permeability and high imaginary permittivity are effective absorbers. For specific samples, however, the adjustment of input impedance is still necessary for the sample property optimization. By analyzing the relation between the diffraction rate and the input impedance, a method of absorption maximization for slab sample are presented in this sample. Medium choosing and volume rate controlling is the key of this method.


2019 ◽  
Vol 4 (2) ◽  
pp. 407-420 ◽  
Author(s):  
Brenden R. Ortiz ◽  
Jesse M. Adamczyk ◽  
Kiarash Gordiz ◽  
Tara Braden ◽  
Eric S. Toberer

Despite extensive research, much of PbSnTeSe alloying space is unexplored. High-throughput bulk synthesis augments literature with high-resolution (121 sample) property maps.


2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Kun Chen ◽  
Lianmin Zhang ◽  
Maolin Pan

When the spatial location area increases becoming extremely large, it is very difficult, if not possible, to evaluate the covariance matrix determined by the set of location distance even for gridded stationary Gaussian process. To alleviate the numerical challenges, we construct a nonparametric estimator called periodogram of spatial version to represent the sample property in frequency domain, because periodogram requires less computational operation by fast Fourier transform algorithm. Under some regularity conditions on the process, we investigate the asymptotic unbiasedness property of periodogram as estimator of the spectral density function and achieve the convergence rate.


2003 ◽  
Vol 11 (1) ◽  
pp. 39-48 ◽  
Author(s):  
R.S. Anderssen ◽  
B.G. Osborne ◽  
I.J. Wesley

Near infrared (NIR) calibration and prediction represents a strategy for solving the inverse problem of determining the input sample property from its output NIR spectrum. The spectrum is an indirect measurement of the property that has been smoothed, leading to a loss of information. As a result, small changes in the spectra can, on occasions, correspond to large changes in the property. However, the well-established mathematical theory of regularisation has been developed for the solution of indirect measurement and inverse problems. Regularisation seeks an approximation to the input that simultaneously forces the model output to agree closely with the observed output and guarantees that appropriate constraints about the behaviour of the input are satisfied. In partial least squares regression, this is achieved through the simultaneous fitting of a model to the measured spectra and another to the property data, with the models coupled through the same set of regression factors. It is this idea that must be carried over to localisation in order to transform it into a stabilised algorithm. In other words, localisation should be carried out with respect to both the spectrum and the property. This paper presents a theoretical basis for this concept together with the results of simulation experiments that compares the effects of localisation with respect to both the spectra and the property with spectrum only and property only localisation.


1998 ◽  
Vol 13 (3) ◽  
pp. 207-239 ◽  
Author(s):  
Norman Godwin ◽  
Kathy Petroni ◽  
James Wahlen

The first objective of this study is to describe the substantial differences across property-liability insurers in accounting classification decisions for fixed maturity securities during 1991–1995. This period includes the years before adoption, upon initial adoption, and after adoption of Statement of Financial Accounting Standards No. 115 (FAS 115, “Accounting for Certain Investments in Debt and Equity Securities”). The second and more important objective of this study is to test two risk-based explanations for differences in investment classification decisions under FAS 115. Under this new standard, firms are required to classify fixed maturity investment securities into trading portfolios, available-for-sale portfolios, or held-to-maturity portfolios. These classification decisions determine whether these securities are recognized at fair value or historical cost. On one hand, the decision to classify securities as available-for-sale rather than held-to-maturity (and thus apply fair value accounting) increases the time-series volatility of key accounting numbers such as owners' equity and total assets, which may be costly for insurers with low tolerance for accounting volatility. On the other hand, the choice to classify securities as available-for-sale (and thus apply fair value accounting) reduces liquidity risk because the accounting standards (and SEC enforcement practices) limit management's ability to sell securities that are not recognized at fair value. The empirical analyses examine whether the security classification decisions of the sample property-liability insurers are associated with firm specific characteristics that reflect liquidity risk and the tolerance for accounting volatility. The findings show that managers of property-liability insurers make tradeoffs between liquidity risk and concerns about accounting volatility when making investment classification decisions under FAS 115.


1998 ◽  
Vol 14 (5) ◽  
pp. 641-662 ◽  
Author(s):  
Ming Liu

In this paper, we study the asymptotics of nonstationary fractional integrated time series, the long memory time series with d ≥ ½, with special attention focused on the cases when d = (2p + 1)/2 for integer n no less than 0. There is considerable empirical evidence showing long memory of this magnitude in many economic time series including the inflation rate and the stock market volatility. A study of the large-sample property is therefore both needed and useful. Also, we found the asymptotics of nonstationary fractional integrated time series useful in the study of the large-sample theory of the Kwiatkowski–Phillips–Schmidt–Shin test (1992, Journal of Econometrics 54, 159–178).


1993 ◽  
Vol 325 ◽  
Author(s):  
H.B. Erzgräber ◽  
P. Gaworzewski ◽  
K. Schmalz ◽  
D. Krôger ◽  
T. Morgenstern ◽  
...  

AbstractThe 1.54μm emission of erbium implanted SiGe alloys was investigated as a function of oxygen and germanium concentrations as well as defect densities. Samples of SiGe layers grown by atmospheric pressure chemical vapor deposition technique which contain high concentrations of grown-in oxygen in the 10 19 - 1020 cm−3 range and 2 - 24 % Ge were chosen for the experiments. By using rapid thermal annealing in nitrogen atmosphere, a high optical activation of Er was found by photoluminescence. In samples with low defect densities nearly one third of the implanted Er ion dose could be detected in form of electrically active donors by spreading resistance measurements. The behavior of different SiGe : Er layers, based on sample property and annealing condition, suggests that more than only one type of luminescent Er-complex is present.


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