HUMAN CAPITAL INVESTMENT BY PRIVATE EMPLOYERS IN BLAIR COUNTY, PENNSYLVANIA, AS MEASURED A one standard deviation (0.28) increase in the choice index corresponds
with a reduction in mean scores of only about four points, about one-eighth of an MSA-level
standard deviation. Moreover, in some alternative specifications not reported here, the
coefficient estimate is statistically insignificant, though still negative.
Effect of wollastonite nanofibers on the improvement of thermal conductivity coefficient of Medium-Density Fiberboard (MDF) was studied here to find a possible solution to decrease hot-press time as a bottle-neck during composite production. Nanowollastonite was applied at 10%, based on the dry weight of wood fibers. Density of the control MDF boards was 0.66 g/cm3. Thermal conductivity coefficient was measured using an apparatus based on Fourier’s Law for heat conduction.
A web search with double checking model is proposed to explore the web as a live corpus. Five association measures including variants of Dice, Overlap Ratio, Jaccard, and Cosine, as well as CoOccurrence Double Check (CODC), are presented. In the experiments on Rubenstein-Goodenough’s benchmark data set, the CODC measure achieves correlation coefficient 0.8492, which competes with the performance (0.8914) of the model using WordNet.
The aim of this primer is to provide the reader with a self-contained,
introductory account of the science of electrochemistry. It seeks to
explain the origin of electrode potentials, show their link with chemical
thermodynamics and to indicate why their measurement is important in
chemistry. In so doing some ideas about solution non-ideality and how
ions move in solution are helpful, and essential diversions into these
topics are made in Chapters 2 and 3
ARE BANK LOAN RATINGS RELEVANT? Moreover, the coefficient on the
background index across MSAs1.58 in Column C, and slightly higher in later columnsis
nearly identical to that found within MSAs (Table 1.4, Column A). This is consistent with
the claim that both coefficients measure primarily the peer effect (γ ), which might be the
same across MSAs as within, rather than effectiveness sorting (θ ), which we would expect
to see within but not across MSAs.
The Texas Instrument TMS320VC5510 DSK’s calculation abilitiy with different program languages is investigated for minimum the DSP’s measurement time. The steps of Monte Carlo simulations embedded into the DSK’s flash through the DSK’s JTAG interface for optical parameters measurement including absorption coefficient µ a , scattering coefficient µ s and anisotropy g are presented. The obtained results for diluted milk standard samples are also reported.
Instead of making the common assumptions that employers only consider
the productivity of employees, that workers ignore the characteristics of
those with whom they work, and that customers only care about the quali-
ties of the goods and services provided, discrimination coefficients incorpo-
rate the influence of race, gender, and other personal characteristics on
tastes and attitudes. Employees may refuse to work under a woman or a
black even when they are well paid to do so, or a customer may prefer not to
deal with a black car salesman.
The second question requires that we build an understanding of how the policy
instrument effects production and productive efficiency. Our approach is similar to
recent stochastic frontier analyses with panel data (Cornwell et al. (1990), Kumbhakar
(1990)), which allow intercepts and some coefficients of the production function to vary
between firms and over time.
Third, not only are the coefficients measuring the effect of pollution larger for low SES children, but
these children are also exposed to considerably higher levels of pollution. As a result, they suffer greater
harm from pollution, and higher pollution levels explain roughly 4% of the gap in asthma rates.
When you have completed this chapter, you will be able to: Compute and interpret the range, the mean deviation, the variance, the standard deviation, and the coefficient of variation of ungrouped data;
Chapter 13 - Linear regression and correlation, after studying this chapter you will be able to: Identify a relationship between variables on a scatter diagram, measure and interpret a degree of relationship by a coefficient of correlation, conduct a test of hypothesis about the coefficient of correlation in a population,...and other contents.
This chapter explains the use of several techniques including correlation analysis and regression analysis. After reading this chapter, you should understand: How correlation analysis may be applied to study relationships between two or more variables; the uses, requirements, and interpretation of the product moment correlation coefficient;...
Chapter 18 - Measures of association. After studying this chapter you will be able to understand: How correlation analysis may be applied to study relationships between two or more variables; the uses, requirements, and interpretation of the product moment correlation coefficient; how predictions are made with regression analysis using the method of least squares to minimize errors in drawing a line of best fit;...
This book is about the evolution of self-help movement organizations in
the United States. The dramatic rise and ubiquity of self-help during the
mid- to late twentieth century positions it high among other healthcare
institutions such as drug rehabilitation, the health maintenance organization
(HMO), and patient rights as an integral part of the landscape marking
our daily lives.
COMPETITIVE SUPPLY CHAIN AND REVENUE MANAGEMENT: FOUR ESSAYS When the peer group measure is interacted with
the choice indexin Column B, and again with additional controls in the remaining
columnsthe coefficient is indistinguishable from zero, with a negative point estimate in
Panel B repeats this analysis, this time with the score earned by students when they
were in the 12th grade.51 Again, estimates of the choice effect are imprecise but arewith
one statistically insignificant exceptionof the opposite sign from that predicted by the
C H A P T E R
Two-way traffic – summarizing and representing relationships between two variables
This chapter will help you to:
■ ■ ■ ■
explore links between quantitative variables using bivariate analysis measure association between quantitative variables using Pearson’s product moment correlation coefficient and the coefficient of determination quantify association in ordinal data using Spearman’s rank correlation coefficient represent the connection between two quantitative variables using simple linear regression analysis use the technology...
2.1 Liquid-in-Glass Thermometers
Liquid-in-glass thermometers are based upon the temperature dependent variation of the volume of the liquid which is used . The thermometer consists of a liquid filled bulb connected to a thin capillary with a temperature scale as shown in Figure 2.1 . Assuming that the bulk volume, Vb, is much greater than that of the liquid contained in the capillary, the volume variation, AV, of the liquid corresponding to the measured temperature variation, d6, is: AV = V/3.;AO (2.
ESSAYS ON TOTAL FACTOR PRODUCTIVITY AND HUMAN CAPITAL In fact, I do not estimate separate regressions for each MSA, but the general effect is
the same: Unreliability of the peer group measure produces an upward bias in the effect of
choice on the peer group gradient, and therefore in the interaction coefficient 1
Fang et al. Nanoscale Research Letters 2011, 6:237 http://www.nanoscalereslett.com/content/6/1/237
Measurement of the extinction coefficients of magnetic fluids
Xiaopeng Fang, Yimin Xuan*, Qiang Li
Abstract A novel spectral transmittance approach for measuring the extinction coefficient of magnetic fluids is proposed. The measuring principle and accuracy of the approach are analysed. Experiments are conducted to measure the extinction coefficient of magnetic fluids with different particle volume fractions.