High-precision multidynamic Sr isotope analysis using thermal ionization mass spectrometer (TIMS) with correction of fractionation drift
High-precision and high-accuracy measurement of the natural mass-independent variations
of 84 Sr/86 Sr using thermal ionization mass spectrometry (TIMS) is crucial for …
of 84 Sr/86 Sr using thermal ionization mass spectrometry (TIMS) is crucial for …
A comparison of the topside electron density measured by the Swarm satellites and incoherent scatter radars over Resolute Bay, Canada
B Larson, AV Koustov, AF Kouznetsov… - Radio …, 2021 - ieeexplore.ieee.org
Electron density measured at high latitudes by the Swarm satellites is compared with the
measurements by the RISR incoherent scatter radars as the satellites fly by the radars' field …
measurements by the RISR incoherent scatter radars as the satellites fly by the radars' field …
[PDF][PDF] Modelling climate change impacts on groundwater recharge in a semi-arid region, southern Okanagan, British Columbia
MW Toews - 2007 - summit.sfu.ca
The impacts of future predicted climate change on groundwater recharge resources are
modelled for the arid to semi-arid south Okanagan region, British Columbia. The …
modelled for the arid to semi-arid south Okanagan region, British Columbia. The …
Inverse Sampling of Degenerate Datasets from a Linear Regression Line
AS Kim - arXiv preprint arXiv:2108.11477, 2021 - arxiv.org
When linear regression generates a relationship between a (dependent) scalar response
and one or multiple independent variables, various datasets providing distinct graphical …
and one or multiple independent variables, various datasets providing distinct graphical …
An alternative to R^ 2 to characterize the quality of fit for linear least squares using offsets of variable orientation related to uncertainties in the data.
L Wedgewood, C Mischel - 2023 - chemrxiv.org
It is not appropriate to use the determination coefficient, R^ 2, to characterize the quality of fit
for a least squares fitted line. In this paper, the maximum of R^ 2 is found as a function of the …
for a least squares fitted line. In this paper, the maximum of R^ 2 is found as a function of the …
Geometric Linear Regression and Geometric Relation
K Wang, L Yang - … Technology: 8th International Conference, ICIC 2012 …, 2012 - Springer
When a linear regression model is constructed by statistical calculation, all the data are
treated without order, even if they are order data. We propose the Geometric regression and …
treated without order, even if they are order data. We propose the Geometric regression and …
[图书][B] A utilitarian comparison of nonlinear regression methods
C Chandak - 2009 - search.proquest.com
Abstract Findings and Conclusions. To overcome the shortcomings of the least squares
regression method, two methods–the normal distance, and the maximum likelihood, were …
regression method, two methods–the normal distance, and the maximum likelihood, were …