Sentences with phrase «with estimation errors»

Five - Year Forecasts We summarize the valuation ratios, historical returns, historical returns net of valuation changes, and expected returns along with estimation errors for the most popular factors and strategies in Table 2.

Not exact matches

Calculation to determine the necessary number of resident participants used estimations of knowledge from previous studies of pediatric residents, which suggested a baseline knowledge about breastfeeding of 60 percentage points.8, 9,15 To detect an improvement in knowledge score of 20 percentage points with an estimated standard deviation of 20 points, a 2 - tailed α error of 0.05 and a power of 0.80, sample size was calculated at a minimum of 16 resident participants.

The scientists responsible for this work consider that the location estimations obtained with this system will contain minimum errors provided that the receiver has sufficiently accurate and up - to - date environmental information.

Typically the JP is only uniform where the estimation is of a simple location parameter, with the measured variable being the parameter (or a linear function thereof) plus an error whose distribution is independent of the parameter.

DF - analyses of heritability with double - entry twin data: asymptotic standard errors and efficient estimation

These differences are also almost impossible to estimate with any reliability, as estimation errors will often be larger than the differences researchers are trying to estimate.

We have only imperfect measures of teachers» effectiveness and, with one year of data, the variance in the estimation error can be as large as the variance in underlying teacher effects.

Even worse: to numbers with error estimates, it adds a number without proper error estimate (the observational uncertainty for 1993 - 2003 is included, but who would claim this is an error estimation for future ice flow changes?).

Roache deals with CFD and with the science of error estimation / propagation that is 100 years old.

General Introduction Two Main Goals Identifying Patterns in Time Series Data Systematic pattern and random noise Two general aspects of time series patterns Trend Analysis Analysis of Seasonality ARIMA (Box & Jenkins) and Autocorrelations General Introduction Two Common Processes ARIMA Methodology Identification Phase Parameter Estimation Evaluation of the Model Interrupted Time Series Exponential Smoothing General Introduction Simple Exponential Smoothing Choosing the Best Value for Parameter a (alpha) Indices of Lack of Fit (Error) Seasonal and Non-seasonal Models With or Without Trend Seasonal Decomposition (Census I) General Introduction Computations X-11 Census method II seasonal adjustment Seasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in Time Series

I must add that the error associated with the uncertain estimation of the magnitude and time of application of the TOBS correction is also a systematic, non-random error.

A problem I have with TOBs papers is that the statement of the method is not clearly posed, the integration and interpolation are done simultaneously and hence any sort of standard quadrature error estimation is unavailable.

Typically the JP is only uniform where the estimation is of a simple location parameter, with the measured variable being the parameter (or a linear function thereof) plus an error whose distribution is independent of the parameter.

Despite the dual - camera setup, the Gionee's results in bokeh mode are poor, with very noticeable artifacts and depth estimation errors.

The estimation measurement «type = complex», which is robust against non-independence (Muthén & Muthén, 2009), was used to account for error associated with the nested data (i.e. students in classes, in schools and in states).

Mplus v7.11 was used for all analyses.23 SDQ items were treated as ordinal, with weighted least - squares means and variance — adjusted estimation used.23 Given the χ2 statistic's propensity to reject good models when samples are large and / or complex, the comparative fit index (CFI) and root mean square error of approximation (RMSEA) were used to assess model fit.