Sentence examples for constant statistics from inspiring English sources

However, this model was based on intensity homogeneous (roughly constant) statistics and, thus, it was not able to deal with intensity inhomogeneity.

At the end of the SPECT measurement, a CT scan was performed (same FOV as the SPECT scan) (55 kVp; 180 projections/rotation; 500 ms exposure time and 1 mm pitch with constant statistics).

The abstract perspective taken in this paper reveals a fundamental difference between model adaptation approaches on the one hand and missing feature and uncertainty decoding approaches on the other hand: Model adaptation techniques usually assume b n to have constant statistics over time [4, 27], i.e., p(mathbf{b}_{n}) = text{const.}, text{for}~ n in {1,ldots,N}.

It's just that I'm not sure how genuinely helpful this constant barrage of statistics is in addressing the issues concerned.

Table 9 Parameter estimates of the Vector Autoregressive (VAR) Model Variable(s) Coefficients t-ratio(s) Other statistics Constant 1.88 2.93 R2 =0.90.5 LLFEXP(−1) 0.62 3.44** F- Stat.=24.07** LLFEXP −2) 0.04 0.21 DW- Stat.

In [10], a time domain, moving target detection processing formulation for detecting human motion behind walls was presented with consisting of exponential averaging background subtraction, ordered statistics constant false alarm rate detection and binary accumulation.

Considering that α, β, and μ are constants, the two statistics of I F 2 are affected by R, P t,0, γ, and σ.

Despite different initiatives since the last version of the most popular handbook MIL-HDBK-217 (1995) no fundamental improvement was realised that makes use of non-constant failure rate statistics – mandatory to model wear-out - and first principles based Physics-of-Failure modelling.

Table S4 Turnover rate constants and summary statistics for all proteins detected by mass spec in each group.

Similar to the design described above, we let F* denote the desired F-statistic in the simulated data, F denote the F-statistic observed in the original data, and T* = F* / F. By multiplying the group standard deviation by 1/√T* and keeping the sample size and group mean constant, the F-statistics changed by a factor of T*.

A test of the full model against a constant model was statistically significant (chi-squared statistics = 149, P = 7.9 · 10−29, df = 7).