Plasmode is a term coined several years ago to describe data sets that are derived from real data but for which some truth is known. Omic techniques, most especially microarray and genomewide association studies, have catalyzed a new zeitgeist of data sharing that is making data and data sets publicly available on an unprecedented scale. Coupling such data resources with a science of plasmode use would allow statistical methodologists to vet proposed techniques empirically (as opposed to only theoretically) and with data that are by definition realistic and representative. We illustrate the technique of empirical statistics by consideration of a common task when analyzing high dimensional data: the simultaneous testing of hundreds or thousands of hypotheses to determine which, if any, show statistical significance warranting follow-on research. The now-common practice of multiple testing in high dimensional experiment (HDE) settings has generated new methods for detecting statistically significant results. Although such methods have heretofore been subject to comparative performance analysis using simulated data, simulating data that realistically reflect data from an actual HDE remains a challenge. We describe a simulation procedure using actual data from an HDE where some truth regarding parameters of interest is known. We use the procedure to compare estimates for the proportion of true null hypotheses, the false discovery rate (FDR), and a local version of FDR obtained from 15 different statistical methods.

Empirical researchers studying party systems often struggle with the question of how to count parties. Indexes of party system fragmentation used to address this problem (e.g., the effective number of parties) have a fundamental shortcoming: since the same index value may represent very different party systems, they are impossible to interpret and may lead to erroneous inference. We offer a novel approach to this problem: instead of focusing on index measures, we develop a model that predicts the \emph{entire distribution} of party vote-shares and, thus, does not require any index measure. First, a model of party-counts predicts the number of parties. Second, a set of multivariate t models predicts party vote-shares. Compared to the standard index-based approach, our approach helps to avoid inferential errors and, in addition, yields a much richer set of insights into the variation of party systems. For illustration, we apply the model on two datasets. Our analyses call into question the conclusions one would arrive at by the index-based approach. A publicly available software is provided to implement the proposed model.

Statistical properties of measurements extracted from texts.

Provide government data open platform.............

Financial overview and grant giving statistics of Illustration Institute

In Oklahoma, historic depictions of the land areas representations, as described in 1867-1870, were developed and called Tribal Statistical Areas (TSA) in the AIAN-LAR. These areas are similar to the Bureau of Census Oklahoma Tribal Statistical Areas (OTSA) which are areas used for the collection, tabulation and presentation of decennial census data for the 36 Federally- recognized American Indian tribes located in the state. No legal inference can or should be made from the TSA information in the GIS dataset. Reservation boundary data is limited in authority to those areas where there has been settled Congressional definition or final judicial interpretation of the boundary. Absent settled Congressional definition or final judicial interpretation of a reservation boundary, the BIA recommends consultation with the appropriate tribe and then the BIA to obtain interpretations of the reservation boundary. This GIS Dataset is prepared strictly for illustrative and reference purposes only and should not be used, and is not intended for legal, survey, engineering or navigation purposes. No warranty is made by the Bureau of Indian Affairs (BIA) for the use of the data for purposes not intended by the BIA. This GIS Dataset may contain errors. There is no impact on the legal status of the land areas depicted herein and no impact on land ownership. No legal inference can or should be made from the information in this GIS Dataset. The GIS Dataset is to be used solely for illustrative, reference and statistical purposes and may be used for government to government Tribal consultation. Reservation boundary data is limited in authority to those areas where there has been settled Congressional definition or final judicial interpretation of the boundary. Absent settled Congressional definition or final judicial interpretation of a reservation boundary, the BIA recommends consultation with the appropriate Tribe and then the BIA to obtain interpretations of the reservation boundary. The land areas and their representations are compilations defined by the official land title records of the Bureau of Indian Affairs (BIA) which include treaties, statutes, Acts of Congress, agreements, executive orders, proclamations, deeds and other land title documents. The trust, restricted, and mixed ownership land area shown here, are suitable only for general spatial reference and do not represent the federal government’s position on the jurisdictional status of Indian country. Ownership and jurisdictional status is subject to change and must be verified with plat books, patents, and deeds in the appropriate federal and state offices. Included in this dataset are the exterior extent of off reservation trust, restricted fee tracts and mixed tracts of land including Public Domain allotments, Dependent Indian Communities, Homesteads and government administered lands and those set aside for schools and dormitories. There are also land areas where there is more than one tribe having an interest in or authority over a tract of land but this information is not specified in the AIAN-LAR dataset. The dataset includes both surface and subsurface tracts of land (tribal and individually held) “off reservation” tracts and not simply off reservation “allotments” as land has in many cases been subsequently acquired in trust. These data are public information and may be used by various organizations, agencies, units of government (i.e., Federal, state, county, and city), and other entities according to the restrictions on appropriate use. It is strongly recommended that these data be acquired directly from the BIA and not indirectly through some other source, which may have altered or integrated the data for another purpose for which they may not have been intended. Integrating land areas into another dataset and attempting to resolve boundary differences between other entities may produce inaccurate results. It is also strongly recommended that careful attention be paid to the content of the metadata file associated with these data. Users are cautioned that digital enlargement of these data to scales greater than those at which they were originally mapped can cause misinterpretation. The BIA AIAN-LAR dataset’s spatial accuracy and attribute information are continuously being updated, improved and is used as the single authoritative land area boundary data for the BIA mission. These data are available through the Bureau of Indian Affairs, Office of Trust Services, Division of Land Titles and Records, Branch of Geospatial Support.

Human infants, apes, and capuchin monkeys engage in intuitive statistics: they generate predictions from populations of objects to samples based on proportional information. This suggests that statistical reasoning might depend on some core knowledge that humans share with other primate species. To aid the reconstruction of the evolution of this capacity, we investigated whether intuitive statistical reasoning is also present in a species of Old World monkey. In a series of 4 experiments, 11 long-tailed macaques were offered different pairs of populations containing varying proportions of preferred vs. neutral food items. One population always contained a higher proportion of preferred items than the other. An experimenter simultaneously drew one item out of each population, hid them in her fists and presented them to the monkeys to choose. Although some individuals performed well across most experiments, our results imply that long-tailed macaques as a group did not make statistical in...

File S1 includes Appendix S1, Appendix S2, Appendix S3, Appendix S4. Appendix S1: Search terms used to identify studies of one year mortality on antiretroviral therapy. Appendix S2: Full citations for studies reviewed. Appendix S3: Illustration of a distribution used to impute CD4 count with bands. Appendix S4: CD4 coefficient (bottom) and model fit (F-statistic – top) for the relationship between one year mortality on ART and baseline CD4 count using varying assumptions about the amount of mortality among those lost to follow-up. (DOCX)

Statistics illustrates consumption, production, prices, and trade of Drawing, marking-out or mathematical calculating instruments in Asia from 2007 to 2024.

Canada Financial Flow: Statistical Discrepancy: Liabilities: IR: Special Drawing Rights data was reported at 0.000 CAD mn in Dec 2024. This stayed constant from the previous number of 0.000 CAD mn for Sep 2024. Canada Financial Flow: Statistical Discrepancy: Liabilities: IR: Special Drawing Rights data is updated quarterly, averaging 0.000 CAD mn from Mar 1990 (Median) to Dec 2024, with 140 observations. The data reached an all-time high of 0.000 CAD mn in Dec 2024 and a record low of 0.000 CAD mn in Dec 2024. Canada Financial Flow: Statistical Discrepancy: Liabilities: IR: Special Drawing Rights data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.AB005: CSNA2012: Financial Flow Accounts: Statistical Discrepancy.

During a survey of adults in the United States conducted in April 2023, respondents were asked about their perception of using AI to copy artistic work and styles. According to ** percent of survey participants, if generative AI was used for this purpose, the artists then should be compensated. However, also ** percent of respondents said they used AI to copy someone's artwork.

Leisure travel refers to various domestic and international travel, entertainment, sports, culture, and other related information sets.

This paper describes a Monte Carlo procedure to assess the performance of calibrated dynamic general equilibrium models. The procedure formalizes the choice of parameters and the evaluation of the model and provides an efficient way to conduct a sensitivity analysis for perturbations of the parameters within a reasonable range. As an illustration the methodology is applied to two problems: the equity premium puzzle and how much of the variance of actual US output is explained by a real business cycle model.

United States Imports: 5-Digit: IN: Artwork, Antiques, Stamps & Other Collectible data was reported at 215.200 USD mn in 2017. This records an increase from the previous number of 189.372 USD mn for 2016. United States Imports: 5-Digit: IN: Artwork, Antiques, Stamps & Other Collectible data is updated yearly, averaging 113.029 USD mn from Dec 1999 (Median) to 2017, with 19 observations. The data reached an all-time high of 215.200 USD mn in 2017 and a record low of 68.265 USD mn in 2001. United States Imports: 5-Digit: IN: Artwork, Antiques, Stamps & Other Collectible data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA091: Trade Statistics: India: Imports: Customs: End Use.

United States Imports: 5-Digit: Artwork, Antiques, Stamps & Other Collectib data was reported at 1.812 USD bn in 2017. This records a decrease from the previous number of 1.817 USD bn for 2016. United States Imports: 5-Digit: Artwork, Antiques, Stamps & Other Collectib data is updated yearly, averaging 1.437 USD bn from Dec 1998 (Median) to 2017, with 20 observations. The data reached an all-time high of 1.955 USD bn in 2015 and a record low of 752.727 USD mn in 1998. United States Imports: 5-Digit: Artwork, Antiques, Stamps & Other Collectib data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.JA080: Trade Statistics: China: Imports: Customs: End Use.

United States Imports: 5-Digit: BR: Artwork, Antiques, Stamps & Oth Collectible data was reported at 130.832 USD mn in 2017. This records an increase from the previous number of 98.306 USD mn for 2016. United States Imports: 5-Digit: BR: Artwork, Antiques, Stamps & Oth Collectible data is updated yearly, averaging 23.744 USD mn from Dec 1999 (Median) to 2017, with 19 observations. The data reached an all-time high of 130.832 USD mn in 2017 and a record low of 8.754 USD mn in 2001. United States Imports: 5-Digit: BR: Artwork, Antiques, Stamps & Oth Collectible data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.JA038: Trade Statistics: Brazil: Imports: Customs: End Use.

The global technical illustration software market is anticipated to rise from USD 4,706.17 million in 2024 to USD 7,069.11 million by 2032, expanding at a CAGR of 5.6% during the forecast period.

United States Exports: 5-Digit: Artwork, Antiques, Stamps, etc data was reported at 102.669 USD mn in 2017. This records an increase from the previous number of 91.516 USD mn for 2016. United States Exports: 5-Digit: Artwork, Antiques, Stamps, etc data is updated yearly, averaging 62.729 USD mn from Dec 1998 (Median) to 2017, with 20 observations. The data reached an all-time high of 151.989 USD mn in 2014 and a record low of 0.101 USD mn in 2006. United States Exports: 5-Digit: Artwork, Antiques, Stamps, etc data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA078: Trade Statistics: China: Exports: FAS: End Use.

United States Exports: 5-Digit: BR: Artwork, Antiques, Stamps, etc data was reported at 114.848 USD mn in 2017. This records a decrease from the previous number of 152.443 USD mn for 2016. United States Exports: 5-Digit: BR: Artwork, Antiques, Stamps, etc data is updated yearly, averaging 31.747 USD mn from Dec 1999 (Median) to 2017, with 19 observations. The data reached an all-time high of 152.443 USD mn in 2016 and a record low of 4.974 USD mn in 2002. United States Exports: 5-Digit: BR: Artwork, Antiques, Stamps, etc data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA070: Trade Statistics: Brazil: Exports: FAS: End Use.

Statistics illustrates consumption, production, prices, and trade of Drawing, marking-out equipment and mathematical instruments; parts and accessories in British Virgin Islands from 2007 to 2024.