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Consequently, we propose to remove the transient states 0-11 and to add some new states at the lower end of the probability space. Since the probability values of states 0-11 are a subset of the states 12-63, the accuracy of the original representation is maintained for that part of the probability space, which corresponds to higher (LPS) probabilities. New proposed probability states 0,00 0,05 0,10 0,15 0,20 0,25 0,30 0,35 0,40 0,45 0,50 051015202530354045505560 States Probability container, cif, 30 Hz -35 -30 -25 -20 -15 -10 -5 0 283032 qp loss relative to unconstrained CABAC [%] all framesb-frames Figure 2 shows the proposed probability states, which have been generated as follows. (...) These states represent an additional probability interval (0.0256, 0.0192]. As a consequence of this re-design of the probability estimator, there is also a simplification of the MPS/LPS switching mechanism.
Language:English
Score: 713640.5 - https://www.itu.int/wftp3/av-a...07_Klagenfurt/JVT-D019r2-L.doc
Data Source: un
Also, the time required to complete the exercise is shorter. 5.6 In probability sampling, the units are selected in such a way that each unit (an outlet or a product) has a known non-zero probability of selection. (...) We then go on to consider some non- probability techniques. Reasons for using non-probability sampling 5.28 No sampling frame is available. (...) So the absence of sampling frames is not a good enough excuse for not applying probability sampling. 5.29 Bias resulting from non-probability sampling is negligible.
Language:English
Score: 713310.4 - https://www.ilo.org/public/eng...reau/stat/download/cpi/ch5.pdf
Data Source: un
Risk Analyses If geological probability is understood as the geological probability (Pg) of project success we may have to consider that projects may fail in the appraisal phase due to geological reasons, too. (...) Pd (probability of the development’s technical success) should belong in this scheme to the Technical Feasibility (F) axis, while Pg (probability of geological success) is to be assigned to the Degree of Confidence criterion (G-Axis) if G-Axis classification follows the Version A approach to the Degree of Confidence discussed above. (...) Regarding risk (actually success probability) evaluation I suggest the refinement of Pg (geological probability) by its extension to appraisal project volumes, the limitation of Pd 10 (development probability) to the technological success, and the assignment of Pc (commercial probability) to the environmental, societal and economic factors.
Language:English
Score: 712804.8 - https://unece.org/sites/defaul...NFC%20PRSG_Imre%20Szilagyi.pdf
Data Source: un
Mortality rate for 5-14 year-olds (probability of dying per 1000 children aged 5-14 years) Global Regions WHO Regional websites Africa Americas South-East Asia Europe Eastern Mediterranean Western Pacific When autocomplete results are available use up and down arrows to review and enter to select. (...) To unsubscribe click here . × Visualisations Data Metadata Related indicators Map Map Table Table Indicator name: Mortality rate for 5-14 year-olds (probability of dying per 1000 children aged 5-14 years) Short name: Mortality among children Data type: Rate Indicator Id: 4802 Topic: Mortality and burden of disease Definition: The probability that a child aged 5 dies before reaching its 15th birthday. (...) The full birth histories were used to estimate the probability of dying in children aged 5 to 14 (10q5) for three reference periods prior to each survey (0-3 years prior to the survey, 4-7 years, and 8-11 years).
Language:English
Score: 712497.3 - https://www.who.int/data/gho/d...1000-children-aged-5-14-years)
Data Source: un
Lerner(-1) 2.669 0.355 URW_(-1) -0.303381 0.143294 -2.1172 0.0342 URW_(-1) -0.267395 0.121881 -2.193902 0.0282 URW_(-1) -0.258462 0.123532 -2.092276 0.0364 URW_(-1) -0.248859 0.121974 -2.040252 0.0413 Lerner -2.816 -2.296 -2.032 RRHPG_(-3) 15.05243 4.929786 3.053363 0.0023 RRHPG_(-3) 14.29347 4.875007 2.931989 0.0034 RRHPG_(-3) 15.35146 4.98456 3.079802 0.0021 RRHPG_(-3) 14.93972 4.882185 3.060047 0.0022 0.015 0.019 0.031 Boone(-1) 0.795 0.195 Boone -1.327 -0.791 0.114 0.289 _5BANK(-1) -0.027754 0.009823 -2.825503 0.0047 _5BANK(-1) -0.030247 0.009238 -3.274005 0.0011 _5BANK(-1) -0.026335 0.009577 -2.749887 0.006 _5BANK(-1) -0.026837 0.009456 -2.838001 0.0045 Area Under Curve (AUC) LERNER(-1) 2.669226 2.886136 0.924844 0.355 BOONE(-1) 0.79459 0.613244 1.295715 0.1951 LERNER -2.29624 0.981724 -2.338987 0.0193 LERNER -2.032165 0.942478 -2.156193 0.0311 Direct Call Ratio (DCR) 10 of 13 9 of 13 9 of 13 9 of 13 LERNER -2.815504 1.156062 -2.435426 0.0149 BOONE -1.327243 0.839931 -1.580181 0.1141 BOONE -0.79118 0.745733 -1.060943 0.2887 False Call Ratio % (FCR) 23.08 30.7 27.66 28.27 Mean dependent var 0.038012 S.D. dependent var 0.191505 Mean dependent var 0.038012 S.D. dependent var 0.191505 Mean dependent var 0.038012 S.D. dependent var 0.191505 Mean dependent var 0.038012 S.D. dependent var 0.191505 S.E. of regression 0.190344 Akaike info criterion 0.313 S.E. of regression 0.187729 Akaike info criterion 0.316544 S.E. of regression 0.189146 Akaike info criterion 0.311182 S.E. of regression 0.189216 Akaike info criterion 0.310503 Sum squared resid 12.20982 Schwarz criterion 0.369064 Sum squared resid 11.87664 Schwarz criterion 0.372608 Sum squared resid 12.05663 Schwarz criterion 0.367247 Sum squared resid 12.10135 Schwarz criterion 0.355354 Log likelihood -48.52294 Hannan-Quinn criter. 0.335334 Log likelihood -49.12897 Hannan-Quinn criter. 0.338878 Log likelihood -48.21217 Hannan-Quinn criter. 0.333517 Log likelihood -49.09595 Hannan-Quinn criter. 0.32837 Deviance 97.04589 Restr. deviance 110.5159 Deviance 98.25794 Restr. deviance 110.5159 Deviance 96.42434 Restr. deviance 110.5159 Deviance 98.19191 Restr. deviance 110.5159 Avg. log likelihood -0.14188 Avg. log likelihood -0.143652 Avg. log likelihood -0.140971 Avg. log likelihood -0.143555 Obs with Dep=0 329 Total obs 342 Obs with Dep=0 329 Total obs 342 Obs with Dep=0 329 Total obs 342 Obs with Dep=0 329 Total obs 342 Obs with Dep=1 13 Obs with Dep=1 13 Obs with Dep=1 13 Obs with Dep=1 13 Expectation-Prediction Evaluation for Binary Specification Expectation-Prediction Evaluation for Binary Specification Expectation-Prediction Evaluation for Binary Specification Expectation-Prediction Evaluation for Binary Specification Equation: T3C1 Equation: T3C2 Equation: T3C3 Equation: T3C4 Date: 03/15/19 Time: 12:00 Date: 03/15/19 Time: 12:03 Date: 03/15/19 Time: 12:05 Date: 03/15/19 Time: 12:08 Success cutoff: C = 0.038 Success cutoff: C = 0.038 Success cutoff: C = 0.038 Success cutoff: C = 0.038 Estimated Equation Constant Probability Estimated Equation Constant Probability Estimated Equation Constant Probability Estimated Equation Constant Probability Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total P(Dep=1)<=C 229 3 232 0 0 0 P(Dep=1)<=C 228 4 232 0 0 0 P(Dep=1)<=C 238 4 242 0 0 0 P(Dep=1)<=C 236 4 240 0 0 0 P(Dep=1)>C 100 10 110 329 13 342 P(Dep=1)>C 101 9 110 329 13 342 P(Dep=1)>C 91 9 100 329 13 342 P(Dep=1)>C 93 9 102 329 13 342 Total 329 13 342 329 13 342 Total 329 13 342 329 13 342 Total 329 13 342 329 13 342 Total 329 13 342 329 13 342 Correct 229 10 239 0 13 13 Correct 228 9 237 0 13 13 Correct 238 9 247 0 13 13 Correct 236 9 245 0 13 13 % Correct 69.6 76.92 69.88 0 100 3.8 % Correct 69.3 69.23 69.3 0 100 3.8 % Correct 72.34 69.23 72.22 0 100 3.8 % Correct 71.73 69.23 71.64 0 100 3.8 % Incorrect 30.4 23.08 30.12 100 0 96.2 % Incorrect 30.7 30.77 30.7 100 0 96.2 % Incorrect 27.66 30.77 27.78 100 0 96.2 % Incorrect 28.27 30.77 28.36 100 0 96.2 Total Gain* 69.6 -23.08 66.08 Total Gain* 69.3 -30.77 65.5 Total Gain* 72.34 -30.77 68.42 Total Gain* 71.73 -30.77 67.84 Percent Gain** 69.6 NA 68.69 Percent Gain** 69.3 NA 68.09 Percent Gain** 72.34 NA 71.12 Percent Gain** 71.73 NA 70.52 Estimated Equation Constant Probability Estimated Equation Constant Probability Estimated Equation Constant Probability Estimated Equation Constant Probability Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total E(# of Dep=0) 317 11.94 328.94 316.49 12.51 329 E(# of Dep=0) 316.97 11.75 328.72 316.49 12.51 329 E(# of Dep=0) 317.12 11.88 329 316.49 12.51 329 E(# of Dep=0) 317 11.96 328.96 316.49 12.51 329 E(# of Dep=1) 12 1.06 13.06 12.51 0.49 13 E(# of Dep=1) 12.03 1.25 13.28 12.51 0.49 13 E(# of Dep=1) 11.88 1.12 13 12.51 0.49 13 E(# of Dep=1) 12 1.04 13.04 12.51 0.49 13 Total 329 13 342 329 13 342 Total 329 13 342 329 13 342 Total 329 13 342 329 13 342 Total 329 13 342 329 13 342 Correct 317 1.06 318.06 316.49 0.49 316.99 Correct 316.97 1.25 318.23 316.49 0.49 316.99 Correct 317.12 1.12 318.24 316.49 0.49 316.99 Correct 317 1.04 318.04 316.49 0.49 316.99 % Correct 96.35 8.13 93 96.2 3.8 92.69 % Correct 96.34 9.63 93.05 96.2 3.8 92.69 % Correct 96.39 8.6 93.05 96.2 3.8 92.69 % Correct 96.35 7.99 92.99 96.2 3.8 92.69 % Incorrect 3.65 91.87 7 3.8 96.2 7.31 % Incorrect 3.66 90.37 6.95 3.8 96.2 7.31 % Incorrect 3.61 91.4 6.95 3.8 96.2 7.31 % Incorrect 3.65 92.01 7.01 3.8 96.2 7.31 Total Gain* 0.15 4.33 0.31 Total Gain* 0.15 5.83 0.36 Total Gain* 0.19 4.8 0.37 Total Gain* 0.15 4.19 0.31 Percent Gain** 4.05 4.5 4.28 Percent Gain** 3.83 6.06 4.95 Percent Gain** 5 4.99 4.99 Percent Gain** 4.04 4.36 4.2 *Change in "% Correct" from default (constant probability) specification *Change in "% Correct" from default (constant probability) specification *Change in "% Correct" from default (constant probability) specification *Change in "% Correct" from default (constant probability) specification **Percent of incorrect (default) prediction corrected by equation **Percent of incorrect (default) prediction corrected by equation **Percent of incorrect (default) prediction corrected by equation **Percent of incorrect (default) prediction corrected by equation newtab3 nt3c1 nt3c2 t2c3 t2c3 Dependent Variable: CRISLV Dependent Variable: CRISLV Dependent Variable: CRISLV Dependent Variable: CRISLV 0.0380116959 Method: ML - Binary Logit (Newton-Raphson / Marquardt steps) Method: ML - Binary Logit (Newton-Raphson / Marquardt steps) Method: ML - Binary Logit (Newton-Raphson / Marquardt steps) Method: ML - Binary Logit (Newton-Raphson / Marquardt steps) Sample: 1999 2016 Base Concentration Preferred No Capital 0.0380116959 Date: 06/09/19 Time: 15:05 Date: 06/09/19 Time: 15:11 Date: 03/15/19 Time: 11:49 Date: 03/15/19 Time: 11:53 Capital(-1) -0.668 -0.284 -0.266 Sample: 1999 2016 Sample: 1999 2016 Sample: 1999 2016 Sample: 1999 2016 0.000 0.023 0.026 Included observations: 342 Included observations: 342 Included observations: 342 Included observations: 342 Real House Price Growth (-3) 10.990 14.441 14.454 12.300 Convergence achieved after 9 iterations Convergence achieved after 9 iterations Convergence achieved after 7 iterations Convergence achieved after 8 iterations 0.013 0.003 0.002 0.006 Coefficient covariance computed using observed Hessian Coefficient covariance computed using observed Hessian Coefficient covariance computed using observed Hessian Coefficient covariance computed using observed Hessian Bank Concentration 0.035 (5 bank) 0.479 Variable Coefficient Std. (...) Bank Concentration(-1) -0.063 -0.030 -0.047 0 (5 bank) 0.191 0.001 0.000 URW_(-1) -0.667718 0.075199 -8.87939 0 URW_(-1) -0.284358 0.125173 -2.271712 0.0231 URW_(-1) -0.266372 0.119928 -2.221097 0.0263 Area Under Curve (AUC) 0.702 0.747 0.714 0.681 RRHPG_(-3) 10.99034 4.417768 2.487758 0.0129 RRHPG_(-3) 14.44131 4.785363 3.017809 0.0025 RRHPG_(-3) 14.45436 4.760918 3.036045 0.0024 RRHPG_(-3) 12.29988 4.513267 2.725273 0.0064 Direct Call Ratio (DCR) 9 of 13 9of 13 9 of 13 7 of 13 _5BANK 0.034631 0.048918 0.707945 0.479 False Call Ratio % (FCR) 39.82 31.61 31.31 29.79 _5BANK(-1) -0.063204 0.048275 -1.309236 0.1905 _5BANK(-1) -0.029544 0.00902 -3.275292 0.0011 _5BANK(-1) -0.046886 0.00527 -8.896317 0 Mean dependent var 0.038012 S.D. dependent var 0.191505 Mean dependent var 0.038012 S.D. dependent var 0.191505 Mean dependent var 0.038012 S.D. dependent var 0.191505 Mean dependent var 0.038012 S.D. dependent var 0.191505 S.E. of regression 0.192644 Akaike info criterion 0.333824 S.E. of regression 0.189964 Akaike info criterion 0.317133 S.E. of regression 0.189496 Akaike info criterion 0.312737 S.E. of regression 0.193902 Akaike info criterion 0.327353 Sum squared resid 12.61797 Schwarz criterion 0.356249 Sum squared resid 12.19713 Schwarz criterion 0.361985 Sum squared resid 12.17304 Schwarz criterion 0.346376 Sum squared resid 12.78331 Schwarz criterion 0.349779 Log likelihood -55.08383 Hannan-Quinn criter. 0.342757 Log likelihood -50.22973 Hannan-Quinn criter. 0.335001 Log likelihood -50.47801 Hannan-Quinn criter. 0.326138 Log likelihood -53.97745 Hannan-Quinn criter. 0.336287 Deviance 110.1677 Restr. deviance 110.5159 Deviance 100.4595 Restr. deviance 110.5159 Deviance 100.956 Restr. deviance 110.5159 Deviance 107.9549 Restr. deviance 110.5159 Avg. log likelihood -0.161064 Avg. log likelihood -0.146871 Avg. log likelihood -0.147597 Avg. log likelihood -0.157829 Obs with Dep=0 329 Total obs 342 Obs with Dep=0 329 Total obs 342 Obs with Dep=0 329 Total obs 342 Obs with Dep=0 329 Total obs 342 Obs with Dep=1 13 Obs with Dep=1 13 Obs with Dep=1 13 Obs with Dep=1 13 Expectation-Prediction Evaluation for Binary Specification Expectation-Prediction Evaluation for Binary Specification Expectation-Prediction Evaluation for Binary Specification Expectation-Prediction Evaluation for Binary Specification Equation: NT3C1 Equation: NT3C2 Equation: T2C3 Equation: T2C4 Date: 06/09/19 Time: 15:07 Date: 06/09/19 Time: 15:13 Date: 03/15/19 Time: 11:51 Date: 03/15/19 Time: 11:54 Success cutoff: C = 0.038012 Success cutoff: C = 0.038012 Success cutoff: C = 0.038 Success cutoff: C = 0.038 Estimated Equation Constant Probability Estimated Equation Constant Probability Estimated Equation Constant Probability Estimated Equation Constant Probability Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total P(Dep=1)<=C 226 4 230 0 P(Dep=1)<=C 198 4 202 329 13 342 P(Dep=1)<=C 225 4 229 329 13 342 P(Dep=1)>C 103 9 112 329 0 0 P(Dep=1)<=C 231 6 237 0 0 0 P(Dep=1)>C 131 9 140 0 0 0 P(Dep=1)>C 104 9 113 0 0 0 Total 329 13 342 329 13 342 P(Dep=1)>C 98 7 105 329 13 342 Total 329 13 342 329 13 342 Total 329 13 342 329 13 342 Correct 226 9 235 0 13 342 Total 329 13 342 329 13 342 Correct 198 9 207 329 0 329 Correct 225 9 234 329 0 329 % Correct 68.69 69.23 68.71 0 13 13 Correct 231 7 238 0 13 13 % Correct 60.18 69.23 60.53 100 0 96.2 % Correct 68.39 69.23 68.42 100 0 96.2 % Incorrect 31.31 30.77 31.29 100 100 3.8 % Correct 70.21 53.85 69.59 0 100 3.8 % Incorrect 39.82 30.77 39.47 0 100 3.8 % Incorrect 31.61 30.77 31.58 0 100 3.8 Total Gain* 68.69 -30.77 64.91 0 96.2 % Incorrect 29.79 46.15 30.41 100 0 96.2 Total Gain* -39.82 69.23 -35.67 Total Gain* -31.61 69.23 -27.78 Percent Gain** 68.69 NA 67.48 Total Gain* 70.21 -46.15 65.79 Percent Gain** NA 69.23 -938.46 Percent Gain** NA 69.23 -730.77 Percent Gain** 70.21 NA 68.39 Estimated Equation Constant Probability Estimated Equation Constant Probability Estimated Equation Constant Probability Dep=0 Dep=1 Total Dep=0 Estimated Equation Constant Probability Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total 316.65 12.02 328.66 316.49 E(# of Dep=0) 314.49 11.99 326.48 316.49 12.51 329 E(# of Dep=0) 316.6 11.98 328.58 316.49 12.51 329 E(# of Dep=1) 12.35 0.98 13.34 12.51 12.51 329 E(# of Dep=0) 314.48 11.86 326.34 316.49 12.51 329 E(# of Dep=1) 14.51 1.01 15.52 12.51 0.49 13 E(# of Dep=1) 12.4 1.02 13.42 12.51 0.49 13 Total 329 13 342 329 0.49 13 E(# of Dep=1) 14.52 1.14 15.66 12.51 0.49 13 Total 329 13 342 329 13 342 Total 329 13 342 329 13 342 Correct 316.65 0.98 317.63 316.49 13 342 Total 329 13 342 329 13 342 Correct 314.49 1.01 315.5 316.49 0.49 316.99 Correct 316.6 1.02 317.62 316.49 0.49 316.99 % Correct 96.25 7.56 92.87 96.2 0.49 316.99 Correct 314.48 1.14 315.62 316.49 0.49 316.99 % Correct 95.59 7.74 92.25 96.2 3.8 92.69 % Correct 96.23 7.84 92.87 96.2 3.8 92.69 % Incorrect 3.75 92.44 7.13 3.8 3.8 92.69 % Correct 95.59 8.75 92.29 96.2 3.8 92.69 % Incorrect 4.41 92.26 7.75 3.8 96.2 7.31 % Incorrect 3.77 92.16 7.13 3.8 96.2 7.31 Total Gain* 0.05 3.76 0.19 96.2 7.31 % Incorrect 4.41 91.25 7.71 3.8 96.2 7.31 Total Gain* -0.61 3.94 -0.44 Total Gain* 0.03 4.04 0.18 Percent Gain** 1.22 3.91 2.57 Total Gain* -0.61 4.95 -0.4 Percent Gain** -16.03 4.1 -5.96 Percent Gain** 0.85 4.2 2.52 Percent Gain** -16.12 5.15 -5.48 *Change in "% Correct" from default (constant probability) specification *Change in "% Correct" from default (constant probability) specification *Change in "% Correct" from default (constant probability) specification **Percent of incorrect (default) prediction corrected by equation *Change in "% Correct" from default (constant probability) specification **Percent of incorrect (default) prediction corrected by equation **Percent of incorrect (default) prediction corrected by equation **Percent of incorrect (default) prediction corrected by equation *Change in "% Correct" from default (constant probability) specification **Percent of incorrect (default) prediction corrected by equation new2 Dependent Variable: _5BANK Dependent Variable: LERNER Dependent Variable: BOONE Method: Panel Least Squares Method: Panel Least Squares Method: Panel Least Squares Date: 06/09/19 Time: 11:49 Date: 05/05/19 Time: 17:30 Date: 05/05/19 Time: 17:28 Sample (adjusted): 1995 2016 Sample (adjusted): 1995 2016 Sample (adjusted): 1995 2016 Periods included: 22 Periods included: 22 Periods included: 20 Cross-sections included: 19 Cross-sections included: 19 Cross-sections included: 19 Total panel (balanced) observations: 418 Total panel (balanced) observations: 418 Total panel (balanced) observations: 380 Variable Coefficient Std. (...) Lerner(-1) 2.669 0.355 URW_(-1) -0.303381 0.143294 -2.1172 0.0342 URW_(-1) -0.267395 0.121881 -2.193902 0.0282 URW_(-1) -0.258462 0.123532 -2.092276 0.0364 URW_(-1) -0.248859 0.121974 -2.040252 0.0413 Lerner -2.816 -2.296 -2.032 RRHPG_(-3) 15.05243 4.929786 3.053363 0.0023 RRHPG_(-3) 14.29347 4.875007 2.931989 0.0034 RRHPG_(-3) 15.35146 4.98456 3.079802 0.0021 RRHPG_(-3) 14.93972 4.882185 3.060047 0.0022 0.015 0.019 0.031 Boone(-1) 0.795 0.195 Boone -1.327 -0.791 0.114 0.289 _5BANK(-1) -0.027754 0.009823 -2.825503 0.0047 _5BANK(-1) -0.030247 0.009238 -3.274005 0.0011 _5BANK(-1) -0.026335 0.009577 -2.749887 0.006 _5BANK(-1) -0.026837 0.009456 -2.838001 newtab4 Area Under Curve (AUC) LERNER(-1) 2.669226 2.886136 0.924844 0.355 BOONE(-1) 0.79459 0.613244 1.295715 0.1951 LERNER -2.29624 0.981724 -2.338987 0.0193 LERNER -2.032165 0.942478 -2.156193 0.0311 Direct Call Ratio (DCR) 10 of 13 9 of 13 9 of 13 9 of 13 LERNER -2.815504 1.156062 -2.435426 0.0149 BOONE -1.327243 0.839931 -1.580181 0.1141 BOONE -0.79118 0.745733 -1.060943 0.2887 False Call Ratio % (FCR) 23.08 30.7 27.66 28.27 Mean dependent var 0.038012 S.D. dependent var 0.191505 Mean dependent var 0.038012 S.D. dependent var 0.191505 Mean dependent var 0.038012 S.D. dependent var 0.191505 Mean dependent var 0.038012 S.D. dependent var 0.191505 S.E. of regression 0.190344 Akaike info criterion 0.313 S.E. of regression 0.187729 Akaike info criterion 0.316544 S.E. of regression 0.189146 Akaike info criterion 0.311182 S.E. of regression 0.189216 Akaike info criterion 0.310503 Sum squared resid 12.20982 Schwarz criterion 0.369064 Sum squared resid 11.87664 Schwarz criterion 0.372608 Sum squared resid 12.05663 Schwarz criterion 0.367247 Sum squared resid 12.10135 Schwarz criterion 0.355354 Log likelihood -48.52294 Hannan-Quinn criter. 0.335334 Log likelihood -49.12897 Hannan-Quinn criter. 0.338878 Log likelihood -48.21217 Hannan-Quinn criter. 0.333517 Log likelihood -49.09595 Hannan-Quinn criter. 0.32837 Deviance 97.04589 Restr. deviance 110.5159 Deviance 98.25794 Restr. deviance 110.5159 Deviance 96.42434 Restr. deviance 110.5159 Deviance 98.19191 Restr. deviance 110.5159 Avg. log likelihood -0.14188 Avg. log likelihood -0.143652 Avg. log likelihood -0.140971 Avg. log likelihood -0.143555 Obs with Dep=0 329 Total obs 342 Obs with Dep=0 329 Total obs 342 Obs with Dep=0 329 Total obs 342 Obs with Dep=0 329 Total obs 342 Obs with Dep=1 13 Obs with Dep=1 13 Obs with Dep=1 13 Obs with Dep=1 13 Expectation-Prediction Evaluation for Binary Specification Expectation-Prediction Evaluation for Binary Specification Expectation-Prediction Evaluation for Binary Specification Expectation-Prediction Evaluation for Binary Specification Equation: T3C1 Equation: T3C2 Equation: T3C3 Equation: T3C4 Date: 03/15/19 Time: 12:00 Date: 03/15/19 Time: 12:03 Date: 03/15/19 Time: 12:05 Date: 03/15/19 Time: 12:08 Success cutoff: C = 0.038 Success cutoff: C = 0.038 Success cutoff: C = 0.038 Success cutoff: C = 0.038 Estimated Equation Constant Probability Estimated Equation Constant Probability Estimated Equation Constant Probability Estimated Equation Constant Probability Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total P(Dep=1)<=C 229 3 232 0 0 0 P(Dep=1)<=C 228 4 232 0 0 0 P(Dep=1)<=C 238 4 242 0 0 0 P(Dep=1)<=C 236 4 240 0 0 0 P(Dep=1)>C 100 10 110 329 13 342 P(Dep=1)>C 101 9 110 329 13 342 P(Dep=1)>C 91 9 100 329 13 342 P(Dep=1)>C 93 9 102 329 13 342 Total 329 13 342 329 13 342 Total 329 13 342 329 13 342 Total 329 13 342 329 13 342 Total 329 13 342 329 13 342 Correct 229 10 239 0 13 13 Correct 228 9 237 0 13 13 Correct 238 9 247 0 13 13 Correct 236 9 245 0 13 13 % Correct 69.6 76.92 69.88 0 100 3.8 % Correct 69.3 69.23 69.3 0 100 3.8 % Correct 72.34 69.23 72.22 0 100 3.8 % Correct 71.73 69.23 71.64 0 100 3.8 % Incorrect 30.4 23.08 30.12 100 0 96.2 % Incorrect 30.7 30.77 30.7 100 0 96.2 % Incorrect 27.66 30.77 27.78 100 0 96.2 % Incorrect 28.27 30.77 28.36 100 0 96.2 Total Gain* 69.6 -23.08 66.08 Total Gain* 69.3 -30.77 65.5 Total Gain* 72.34 -30.77 68.42 Total Gain* 71.73 -30.77 67.84 Percent Gain** 69.6 NA 68.69 Percent Gain** 69.3 NA 68.09 Percent Gain** 72.34 NA 71.12 Percent Gain** 71.73 NA 70.52 Estimated Equation Constant Probability Estimated Equation Constant Probability Estimated Equation Constant Probability Estimated Equation Constant Probability Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total Dep=0 Dep=1 Total E(# of Dep=0) 317 11.94 328.94 316.49 12.51 329 E(# of Dep=0) 316.97 11.75 328.72 316.49 12.51 329 E(# of Dep=0) 317.12 11.88 329 316.49 12.51 329 E(# of Dep=0) 317 11.96 328.96 316.49 12.51 329 E(# of Dep=1) 12 1.06 13.06 12.51 0.49 13 E(# of Dep=1) 12.03 1.25 13.28 12.51 0.49 13 E(# of Dep=1) 11.88 1.12 13 12.51 0.49 13 E(# of Dep=1) 12 1.04 13.04 12.51 0.49 13 Total 329 13 342 329 13 342 Total 329 13 342 329 13 342 Total 329 13 342 329 13 342 Total 329 13 342 329 13 342 Correct 317 1.06 318.06 316.49 0.49 316.99 Correct 316.97 1.25 318.23 316.49 0.49 316.99 Correct 317.12 1.12 318.24 316.49 0.49 316.99 Correct 317 1.04 318.04 316.49 0.49 316.99 % Correct 96.35 8.13 93 96.2 3.8 92.69 % Correct 96.34 9.63 93.05 96.2 3.8 92.69 % Correct 96.39 8.6 93.05 96.2 3.8 92.69 % Correct 96.35 7.99 92.99 96.2 3.8 92.69 % Incorrect 3.65 91.87 7 3.8 96.2 7.31 % Incorrect 3.66 90.37 6.95 3.8 96.2 7.31 % Incorrect 3.61 91.4 6.95 3.8 96.2 7.31 % Incorrect 3.65 92.01 7.01 3.8 96.2 7.31 Total Gain* 0.15 4.33 0.31 Total Gain* 0.15 5.83 0.36 Total Gain* 0.19 4.8 0.37 Total Gain* 0.15 4.19 0.31 Percent Gain** 4.05 4.5 4.28 Percent Gain** 3.83 6.06 4.95 Percent Gain** 5 4.99 4.99 Percent Gain** 4.04 4.36 4.2 *Change in "% Correct" from default (constant probability) specification *Change in "% Correct" from default (constant probability) specification *Change in "% Correct" from default (constant probability) specification *Change in "% Correct" from default (constant probability) specification **Percent of incorrect (default) prediction corrected by equation **Percent of incorrect (default) prediction corrected by equation **Percent of incorrect (default) prediction corrected by equation **Percent of incorrect (default) prediction corrected by equation newtab3 nt3c1 nt3c2 t2c3 t2c3 Dependent Variable: CRISLV Dependent Variable: CRISLV Dependent Variable: CRISLV Dependent Variable: CRISLV 0.0380116959 Method: ML - Binary Logit (Newton-Raphson / Marquardt steps) Method: ML - Binary Logit (Newton-Raphson / Marquardt steps) Method: ML - Binary Logit (Newton-Raphson / Marquardt steps) Method: ML - Binary Logit (Newton-Raphson / Marquardt steps) Sample: 1999 2016 Base Concentration Preferred No Capital 0.0380116959 Date: 06/09/19 Time: 15:05 Date: 06/09/19 Time: 15:11 Date: 03/15/19 Time: 11:49 Date: 03/15/19 Time: 11:53 Capital(-1) -0.668 -0.284 -0.266 Sample: 1999 2016 Sample: 1999 2016 Sample: 1999 2016 Sample: 1999 2016 0.000 0.023 0.026 Included observations: 342 Included observations: 342 Included observations: 342 Included observations: 342 Real House Price Growth (-3) 10.990 14.441 14.454 12.300 Convergence achieved after 9 iterations Convergence achieved after 9 iterations Convergence achieved after 7 iterations Convergence achieved after 8 iterations 0.013 0.003 0.002 0.006 Coefficient covariance computed using observed Hessian Coefficient covariance computed using observed Hessian Coefficient covariance computed using observed Hessian Coefficient covariance computed using observed Hessian Bank
Language:English
Score: 711328.5 - https://www.un.org/development...2019LINK-Monday-Session4-A.pdf
Data Source: un
They should follow the personal hygiene protective measures recommended and quarantine or isolate themselves as directed by health officials. 1 *: A “close” contact is a person who experienced any one of the following exposures during the 2 days before and the 14 days after the onset of symptoms of a probable or confirmed COVID-19 + case. 1. Face-to-face contact with a probable or confirmed case within 1 meter and for more than 15 minutes. 2. Direct care for a patient with probable or confirmed COVID-19 disease without using proper personal protective equipment 4.
Language:English
Score: 710442.5 - https://www.un.org/sites/un2.u..._un_personnel_2_april_2020.pdf
Data Source: un
In developing countries, the probability of participating in the workforce increases by 7.8 per cent; in emerging, by 6.4 per cent; in ASNA, two regions with the widest gap in participation rates, the probability increases further, at 12.9 per cent. (...) In ASNA countries, it decreases the probability to participate by 6.2 percentage points; in developing countries by 4.8 percentage points; and in developed countries by 4.0 percentage points. (...) In developing countries, the probability to participate is substantially reduced by religion, a proxy indicator for more restrictive gender role conformity.
Language:English
Score: 709764.45 - www.ilo.org/moscow/news...WCMS_566891/lang--en/index.htm
Data Source: un
In developing countries, the probability of participating in the workforce increases by 7.8 per cent; in emerging, by 6.4 per cent; in ASNA, two regions with the widest gap in participation rates, the probability increases further, at 12.9 per cent. (...) In ASNA countries, it decreases the probability to participate by 6.2 percentage points; in developing countries by 4.8 percentage points; and in developed countries by 4.0 percentage points. (...) In developing countries, the probability to participate is substantially reduced by religion, a proxy indicator for more restrictive gender role conformity.
Language:English
Score: 709764.45 - https://www.ilo.org/moscow/new...WCMS_566891/lang--en/index.htm
Data Source: un
Further, to reduce the error probability, a co‑ probability of bit error expressions were derived at the operative abnormality detection scheme was proposed destination using the probabilities of detection and false in [158]. (...) Authors’ analysis demonstrated that the opti‑ it detects an abnormality itself or it receives signaling mal decision threshold at the destination depends on the molecules from other sensors that detected abnormality. probabilities of detection and false alarm of the last coop‑ Finally, an FC collected responses from all the sensors and erative nano‑machine. checked the activation lag of all the sensors to decide the presence or absence of abnormality. Optimal threshold at A cooperative detection strategy was presented in [151], the FC was derived by minimizing the error probability. where several cooperative nano‑machines sent their de‑ cisions to an FC about the presence or absence of an ab‑ normality inside the blood vessel.
Language:English
Score: 709764.45 - https://www.itu.int/en/publica...3/files/basic-html/page72.html
Data Source: un
Thus, tak- city meet each other with a probability of 0.01. ing the number of contacts with all people into con- Thus, on average, a person meets around 10 people sideration could significantly improve the tracing. (...) Otherwise, they will be probability that the virus spreads from an infected quarantined for 14 days, and then will be back to person to a healthy person during a contact. (...) Over here, is the so-called base infection value. probability, which can either be a constant or de- pend on the proportion of confirmed cases of the • Policy 2 with = 0.2, where 0.2 is an example of population (i.e., adaptive).
Language:English
Score: 709764.45 - https://www.itu.int/en/publica.../files/basic-html/page117.html
Data Source: un