This dataset is about books. It has 1 row and is filtered where the book is The discrete ordered median problem : models and solution methods. It features 7 columns including author, publication date, language, and book publisher.

This data release includes water-quality data collected at up to thirteen locations along the Merrimack River and Merrimack River Estuary in Massachusetts. In this study, conducted by the U.S. Geological Survey (USGS) in cooperation with the Massachusetts Department of Environmental Protection, discrete samples were collected, and continuous monitoring was completed from June to September 2020. The data include results of measured field properties (water temperature, specific conductivity, pH, dissolved oxygen) and laboratory concentrations of nitrogen and phosphorus species, total carbon, pheophytin-a, and chlorophyll-a. These data were collected to assess selected (mainly nutrients) water-quality conditions in the Merrimack River and Merrimack River Estuary at the thirteen locations and identify areas where more water-quality monitoring is needed. The discrete samples and continuous-monitoring data are also available in the USGS National Water Information System at https://waterdata.usgs.gov/nwis. This data release consists of (1) Table of the discrete water-quality data collected (Merrimack_DiscreteWQ_Data.csv); (2) Statistical summaries including the minimum, median, and maximum of the discrete water-quality data collected (Merrimack_DiscreteWQ_Statistical_Data.original.csv); (3) Statistical summaries including the minimum, median, and maximum of the continuous water-quality data collected (Merrimack_ContinuousWQ_Statistical_Data.csv); (4) Table of vertical profile data (Merrimack_VerticalWQ_Profiles_Data.csv); (5) Table of continuous monitor deployment location and dates (Merrimack_ContinuousWQ_Deployment_Dates.csv); (6) Time-series plots of continuous water-quality data (Continuous_QW_Plots_All.zip); (7) Vertical profile plots (Vertical Profiles_QW_Plots.zip).

CN: Semiconductor Discrete Device: YoY: Current Asset data was reported at -6.240 % in Oct 2015. This records a decrease from the previous number of 0.963 % for Sep 2015. CN: Semiconductor Discrete Device: YoY: Current Asset data is updated monthly, averaging 13.909 % from Jan 2006 (Median) to Oct 2015, with 89 observations. The data reached an all-time high of 38.625 % in Oct 2011 and a record low of -6.240 % in Oct 2015. CN: Semiconductor Discrete Device: YoY: Current Asset data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BIB: Electronic Device: Semiconductor Discrete Device.

Dataset Card for "aqua_rat_cls"

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Probability & Statistics • Includes classical and conditional probability, independent/mutually exclusive events • Permutations and combinations, sampling, expected value, variance, standard deviation • Normal distribution, central tendencies (mean, median, mode) Explanation: Focuses on quantifying uncertainty and data analysis, requiring both discrete counting and continuous distribution understanding.

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Number Theory &… See the full description on the dataset page: https://huggingface.co/datasets/yangguangzhaojjj/aqua_rat_raw.

Pearson’s correlation coefficient between distances between given and predicted locations for the five methods for the oak dataset.

Pearson’s correlation coefficient between given and predicted latitude and longitude values for the five methods.

Pearson’s correlation coefficient between distances between given and predicted locations for the five methods for the beech dataset.

Continuous and Discrete Data Were Expressed as Median (IQR) and Count (% N), Respectively.Note: Bolded values are significantly different. * Proportion of HIV-infected patients on ART = antiretroviral therapy. LDH = serum lactate dehydrogenase. HIV+ = HIV-infected. HIV- = HIV-uninfected

Python programs, r-scripts and input data for the five continuous geographic assignment methods.

China Industrial Production: Semiconductor Discrete Component data was reported at 46,883.853 Unit mn in Oct 2015. This records a decrease from the previous number of 47,812.476 Unit mn for Sep 2015. China Industrial Production: Semiconductor Discrete Component data is updated monthly, averaging 31,810.000 Unit mn from Jan 2008 (Median) to Oct 2015, with 90 observations. The data reached an all-time high of 51,627.987 Unit mn in Jul 2015 and a record low of 12,131.000 Unit mn in Jan 2009. China Industrial Production: Semiconductor Discrete Component data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BA: Industrial Production.

China Semiconductor Discrete Device: YoY: Product Inventory data was reported at 5.093 % in Oct 2015. This records a decrease from the previous number of 8.606 % for Sep 2015. China Semiconductor Discrete Device: YoY: Product Inventory data is updated monthly, averaging 16.930 % from Jan 2006 (Median) to Oct 2015, with 89 observations. The data reached an all-time high of 67.679 % in Oct 2011 and a record low of -15.550 % in Nov 2009. China Semiconductor Discrete Device: YoY: Product Inventory data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BIB: Electronic Device: Semiconductor Discrete Device.

Japan Imports: Discrete Semiconductors data was reported at 44.021 JPY bn in Aug 2018. This records a decrease from the previous number of 47.018 JPY bn for Jul 2018. Japan Imports: Discrete Semiconductors data is updated monthly, averaging 21.029 JPY bn from Jan 2000 (Median) to Aug 2018, with 224 observations. The data reached an all-time high of 108.861 JPY bn in Mar 2014 and a record low of 8.827 JPY bn in Feb 2009. Japan Imports: Discrete Semiconductors data remains active status in CEIC and is reported by Japan Electronics & Information Technology Industries Association. The data is categorized under Global Database’s Japan – Table JP.RF012: Imports: Electronic Equipment.

Steps were automated except where indicated.

China Semiconductor Discrete Device: YoY: Total Asset data was reported at 4.633 % in Oct 2015. This records a decrease from the previous number of 5.007 % for Sep 2015. China Semiconductor Discrete Device: YoY: Total Asset data is updated monthly, averaging 12.110 % from Jan 2006 (Median) to Oct 2015, with 89 observations. The data reached an all-time high of 28.800 % in Nov 2009 and a record low of 3.469 % in Apr 2014. China Semiconductor Discrete Device: YoY: Total Asset data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BIB: Electronic Device: Semiconductor Discrete Device.

Gender is based on ad category. Percentages are relative to total names. Corrected estimates are generated using Eq 3 for names and Eq 1 for advertisers.

There is continued interest in the modernization of food traceability systems because of increased consumer consciousness of food production, processing, and transportation and the desire of the food industry to identify and contain sources of foodborne illness outbreaks and improve their reputations to consumers. Blockchain-based traceability systems promise faster access to more decentralized, tamper-proof records of the movement of a food product and its ingredients through the supply chain. Using data from two discrete choice experiment surveys, we estimate U.S. consumer marginal willingness to pay for access to blockchain-based traceability information via QR codes and for more specific sub-region provenance labeling placed on the packaging of two economically important and outbreak-prone leafy greens: romaine lettuce and spinach. After conducting sensitivity testing using a variety of specifications, we find that unrestricted random parameter logit models allowing for correlation across random parameters provide the best model fit. Simulations of willingness to pay distributions indicate a median marginal willingness to pay of about $1.45 for access to traceability information over no access and an additional $0.33-$0.38 if the information is blockchain verified. We also find that voluntary sub-region provenance labeling may result in consumers discounting imported relative to domestically produced leafy greens. If domestically produced, consumers are not willing to pay more to know the region within a state where the product was grown.

Web pages collected per source in 2014–2016.

Taiwan Production: Value: Discrete Devices: Diode data was reported at 1,729,623.000 NTD th in May 2018. This records a decrease from the previous number of 1,746,519.000 NTD th for Apr 2018. Taiwan Production: Value: Discrete Devices: Diode data is updated monthly, averaging 876,352.000 NTD th from Jan 1982 (Median) to May 2018, with 437 observations. The data reached an all-time high of 2,048,284.000 NTD th in Mar 2018 and a record low of 148,514.000 NTD th in Jan 1982. Taiwan Production: Value: Discrete Devices: Diode data remains active status in CEIC and is reported by Ministry of Economic Affairs. The data is categorized under Global Database’s Taiwan – Table TW.RF001: Electronic Product: Production.

China Industrial Production: YoY: Year to Date: Semiconductor Discrete Component data was reported at 7.400 % in Jun 2016. This records an increase from the previous number of 3.759 % for Oct 2015. China Industrial Production: YoY: Year to Date: Semiconductor Discrete Component data is updated monthly, averaging 5.700 % from Feb 2008 (Median) to Jun 2016, with 87 observations. The data reached an all-time high of 74.900 % in Feb 2010 and a record low of -25.800 % in Mar 2009. China Industrial Production: YoY: Year to Date: Semiconductor Discrete Component data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BA: Industrial Production: Period on Period Change.

China Semiconductor Discrete Device: Asset Contribution Ratio: Year to Date data was reported at 7.309 % in Oct 2015. This records an increase from the previous number of 7.149 % for Sep 2015. China Semiconductor Discrete Device: Asset Contribution Ratio: Year to Date data is updated monthly, averaging 5.358 % from Dec 2006 (Median) to Oct 2015, with 83 observations. The data reached an all-time high of 10.476 % in Nov 2008 and a record low of 0.404 % in Feb 2009. China Semiconductor Discrete Device: Asset Contribution Ratio: Year to Date data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BIB: Electronic Device: Semiconductor Discrete Device.