Results 21 to 30 of about 5,820,470 (294)
In-class activity comparing standard errors as a function of sample size with SPSS [PDF]
Tutorials in Quantitative Methods for Psychology, 2020 This vignette presents an in-class demonstration to introduce the notion of standard error. The students must be able to compute means using SPSS. They must also be able to eye-ball standard deviation from a list of numbers.
Cousineau, Denis
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Metrological characteristics of the torque measurement of electric motors
International Journal of Metrology and Quality Engineering, 2017 This paper proposes a method of determination of the basic metrological characteristics of measurement means (MM) in order to measure the torque of electric motors (EM), such as sensitivity, nominal conversion functions, and additive and multiplicative ...
Vasilevskyi Oleksandr M.
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Clustering standard errors - Simulation
, 2022 This is a repository for the simulation code used in the paper "Clustering Standard Errors at the Session Level"
Duk Gyoo Kim
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In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters.
Sean D V Foley +104 more
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Estimation of confidence intervals for decompositions and other complex demographic estimators
Demographic Research, 2023 Background: While the use of standard errors and confidence intervals is common in regression-based studies in the population sciences, it is far less common in studies using formal demographic measures and methods, including demographic decompositions.
Arun Hendi
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Brain and Behavior, 2023 Introduction Clarifications regarding the recovery process of the subjective postural vertical (SPV) and activities of daily living in stroke patients are required to help clinicians determine treatment plans.
Kota Sawa +9 more
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Continuity Correction and Standard Error Calculation for Testing in Proportional Hazards Models
StatsStandard asymptotic inference for proportional hazards models is conventionally performed by calculating a standard error for the estimate and comparing the estimate divided by the standard error to a standard normal distribution.
Daniel Baumgartner, John E. Kolassa
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The Standard Errors of Persistence [PDF]
, 2019 A large literature on persistence finds that many modern outcomes strongly reflect characteristics of the same places in the distant past. However, alongside unusually high t statistics, these regressions display severe spatial autocorrelation in residuals, and the purpose of this paper is to examine whether these two properties might be connected.
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IFRS adoption and the value-relevance of financial statements figures in Nigeria [PDF]
Contabilitate şi Informatică de GestiuneResearch Question: Has IFRS adoption improved the value-relevance of financial statement figures in Nigeria? Motivation: The informativeness of the reported earnings, book values, and cash flows depends on the accounting standards used in preparing ...
Japhet Imhanzenobe +2 more
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, 2023 In statistics, samples are drawn from a population in a data- generating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters.
Dreber, Anna +3 more
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