Graph and download economic data for Statistical discrepancy (IEASD) from Q1 1999 to Q2 2025 about residual and USA.

United States BoP: Statistical Discrepancy data was reported at -69.659 USD bn in Dec 2018. This records a decrease from the previous number of 107.161 USD bn for Sep 2018. United States BoP: Statistical Discrepancy data is updated quarterly, averaging 159.500 USD mn from Mar 1960 (Median) to Dec 2018, with 236 observations. The data reached an all-time high of 129.650 USD bn in Sep 2012 and a record low of -155.576 USD bn in Mar 2012. United States BoP: Statistical Discrepancy data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s United States – Table US.JB001: BPM6: Balance of Payments.

United States - Statistical discrepancy was -140486.00000 Mil. of $ in January of 2024, according to the United States Federal Reserve. Historically, United States - Statistical discrepancy reached a record high of 146227.00000 in January of 2009 and a record low of -140486.00000 in January of 2024. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Statistical discrepancy - last updated from the United States Federal Reserve on December of 2025.

The list of discrepancies between clinicaltrials.dec.gov.ua and clinicaltrials.gov registers.

United States - Seasonal Adjustment Discrepancy was 15341.00000 Mil. of $ in October of 2019, according to the United States Federal Reserve. Historically, United States - Seasonal Adjustment Discrepancy reached a record high of 34775.00000 in October of 2014 and a record low of -30664.00000 in July of 2008. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Seasonal Adjustment Discrepancy - last updated from the United States Federal Reserve on December of 2025.

Pakistan Fiscal Operations: TE: Statistical Discrepancy data was reported at -78.000 PKR bn in 2017. This records an increase from the previous number of -212.100 PKR bn for 2016. Pakistan Fiscal Operations: TE: Statistical Discrepancy data is updated yearly, averaging -54.800 PKR bn from Jun 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 69.800 PKR bn in 2012 and a record low of -215.100 PKR bn in 2014. Pakistan Fiscal Operations: TE: Statistical Discrepancy data remains active status in CEIC and is reported by State Bank of Pakistan. The data is categorized under Global Database’s Pakistan – Table PK.F007: Consolidated Federal and Provincial Budgetary Operations (Annual).

This dataset provides detailed records of medication reconciliation during patient care transitions, capturing home, admission, and discharge medication lists, discrepancy identification and resolution, and clinician/facility details. It enables robust patient safety monitoring, process optimization, and compliance reporting in healthcare settings.

Graph and download economic data for Statistical discrepancy (IEASDA) from 1999 to 2024 about residual and USA.

Albania GDP: Real: Discrepancy data was reported at 48,160.523 ALL mn in 2023. This records a decrease from the previous number of 52,737.775 ALL mn for 2022. Albania GDP: Real: Discrepancy data is updated yearly, averaging 36,868.316 ALL mn from Dec 2010 (Median) to 2023, with 14 observations. The data reached an all-time high of 56,011.051 ALL mn in 2020 and a record low of 8,470.352 ALL mn in 2013. Albania GDP: Real: Discrepancy data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Albania – Table AL.World Bank.WDI: Gross Domestic Product: Real. A statistical discrepancy usually arises when the GDP components are estimated independently by industrial origin and by expenditure categories. This item represents the discrepancy in the use of resources (i.e., the estimate of GDP by expenditure categories). Data are in constant local currency.;World Bank national accounts data, and OECD National Accounts data files.;;

Graph and download economic data for Gross domestic product : Statistical discrepancy as a percentage of GDP (SB0000081Q027SBEA) from Q1 1947 to Q2 2025 about residual, percent, GDP, and USA.

R code and data to reproduce figures and tables in the manuscript: Statistical Approaches to Decreasing the Discrepancy of Non-detects in qPCR Data.

Graph and download economic data for Statistical discrepancy as a percentage of GDP (SB0000081A027NBEA) from 1929 to 2024 about residual, percent, GDP, and USA.

Nominal Statistical Discrepancy for United States was 0.00000 Domestic Currency in January of 2021, according to the United States Federal Reserve. Historically, Nominal Statistical Discrepancy for United States reached a record high of 5000.00000 in July of 1951 and a record low of -100.00000 in October of 1950. Trading Economics provides the current actual value, an historical data chart and related indicators for Nominal Statistical Discrepancy for United States - last updated from the United States Federal Reserve on November of 2025.

Engineering model development involves several simplifying assumptions for the purpose of mathematical tractability, which are often not realistic in practice. This leads to discrepancies in the model predictions. A commonly used statistical approach to overcome this problem is to build a statistical model for the discrepancies between the engineering model and observed data. In contrast, an engineering approach would be to find the causes of discrepancy and fix the engineering model using first principles. However, the engineering approach is time consuming, whereas the statistical approach is fast. The drawback of the statistical approach is that it treats the engineering model as a black box and therefore, the statistically adjusted models lack physical interpretability. This article proposes a new framework for model calibration and statistical adjustment. It tries to open up the black box using simple main effects analysis and graphical plots and introduces statistical models inside the engineering model. This approach leads to simpler adjustment models that are physically more interpretable. The approach is illustrated using a model for predicting the cutting forces in a laser-assisted mechanical micro-machining process. This article has supplementary material online.

124 Global export shipment records of Discrepancy Switch with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

The United States has two measures of economic output: gross domestic product (GDP) and gross domestic income (GDI). While these are conceptually equivalent, their initial estimates differ because these initial estimates are computed from different and incomplete data sources. I study the difference, or “statistical discrepancy,” between GDP and GDI in percent and document three features. First, its size does not materially shrink on average as more data become available. Second, the size of the initial discrepancy in absolute value does not predict the size of the discrepancy in absolute value after revisions. Third, the initial discrepancy has some predictive information about revisions to lagged GDP growth but no predictive information about revisions to lagged GDI growth.

Japan (DC)GDP: 95p: Statistical Discrepancy data was reported at 2,007.200 JPY bn in 2003. This records a decrease from the previous number of 3,961.900 JPY bn for 2002. Japan (DC)GDP: 95p: Statistical Discrepancy data is updated yearly, averaging 1,971.400 JPY bn from Dec 1980 (Median) to 2003, with 24 observations. The data reached an all-time high of 5,222.400 JPY bn in 2001 and a record low of -642.200 JPY bn in 1991. Japan (DC)GDP: 95p: Statistical Discrepancy data remains active status in CEIC and is reported by Economic and Social Research Institute. The data is categorized under Global Database’s Japan – Table JP.A143: SNA 93: GDP by Industry: 1995 Price: Annual (Old). Rebased from 1995p to 2000p. Replacement Series ID: 133631901

Real Statistical Discrepancy for United States was -14697.00000 Domestic Currency in April of 2025, according to the United States Federal Reserve. Historically, Real Statistical Discrepancy for United States reached a record high of 12824.30000 in April of 2000 and a record low of -54250.50000 in October of 1953. Trading Economics provides the current actual value, an historical data chart and related indicators for Real Statistical Discrepancy for United States - last updated from the United States Federal Reserve on December of 2025.

United States - Domestic Nonfinancial Sectors; Sector Discrepancy, Transactions was 26884.00000 Mil. of $ in April of 2025, according to the United States Federal Reserve. Historically, United States - Domestic Nonfinancial Sectors; Sector Discrepancy, Transactions reached a record high of 1667327.00000 in January of 2012 and a record low of -2391837.00000 in July of 2007. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Domestic Nonfinancial Sectors; Sector Discrepancy, Transactions - last updated from the United States Federal Reserve on November of 2025.

Source Time Coverage Basis Definition of FTHB FTHB Reported Share Median Age of Buyer NAR Survey July 2024-June 2025 ~6,100 responses Member Survey Self-identified 21% 59 Ginnie Mae +GSE RMBS Loan-Level July 2024-June 2025 ~2.4 Million Actual lending data 3-year no-ownership rule 62% NA Primary Residence Primary Residence Home Purchase Loans Home Purchase HMDA LAR Loan-Level 2024 ~3.1 Million Actual lending data No clear definition - by age cohort 40% 65% 1-4 Primary Residence Under 35 Under 45 Home Purchase Loans American Community Survey 1YR PUMS Latest in CensusVision ~3.54 Million addresses Annual national survey - focus on movers who own No clear definition - by age Age-based share 43 CPS ASEC PUMS 2025 ~95,000 Annual national survey No clear definition - by age Age-based share 42 Households - focus on movers who own