Statistical Data Analysis
By C. Sagan. Technometrics, 2000
907 citations recorded by the source corpus.
Subfields: Computational Mechanics, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/fbc7be99bce50ba7f22bcd7ccd15cf943036f480
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- A. Stocchi
- K. C. T. Antoni
- J. A. Aguilar-Saavedra
- G. Martinelli
- Graeme Watt
- A. Strong
- Cms Collaboration
- José I. Latorre
In Statistical and Nonlinear Physics
- Tomi Koivisto
- A. Reimer
- M. Maltoni
- M. Gonzalez-Garcia
- A. Stocchi
- K. C. T. Antoni
- Yashar Akrami
- Alex Drlica-Wagner
Citations in the corpus
- 2000 CKM-triangle analysis a critical review with updated experimental inputs and theoretical parameters (2000, methodology): “The latter is obtained by inverting the error matrix, after the inclusion of the uncertainties given by the quantities 6 \p-value" would be the correct modern statistics term to be used instead of \ t probability" or \ 2 probability" [66, 67].”
- Measurement of the forward Z boson production cross-section in pp collisions at s=7$$ \sqrt{s}=7 $$ TeV (2015, neutral): “Other unfolding techniques [66, 67] give similar results.”
- Observation of geo-neutrinos (2010, neutral): “We define the log-likelihood function as [29, 30]: lnL(Ngeo, Nreact, Sreact, SFV) = −Nexpected(Ngeo, Nreact, Sreact, SFV)+”
- Neural network parametrization of deep inelastic structure functions (2002, methodology): “More in general, if the number of data exceeds the number of parameters, the error on the parameters will be reduced by a factor which is bounded by the so–called RCF inequality [18]; if there exists an estimate of the parameters which saturates this bound (as in the multilinear case), then it can b”
- Charged particle multiplicities in pp interactions at sqrt(s) = 0.9, 2.36, and 7 TeV (2010, background): “The problem of inverting the response matrix Rm,n, here taken from MC, is well known and extensive literature on the topic exists [53, 54].”
- Parton distributions for the LHC run II (2014, background): “Thus one may explicitly check that the output PDFs provide consistent and unbiased [15] estimators of the underlying truth, that confidence levels reproduce the correct coverage (e.”
- Development and validation of an artificial intelligence anxiety scale: an initial application in predicting motivated learning behavior (2019, methodology): “In addition, considering a minimum value of 0.30 (Nurosis, 1994), in order to improve the coe ffi cient alpha levels, a corrected item-to-total correlation was performed.”
- Model-independent bounds on a light Higgs (2012, background): “20) is a special case of the central limit for the Gamma distribution, see for example [23].”
- Phenomenology with Massive Neutrinos (2007, background): “points where it has been measured, this Monte Carlo set gives a sampling of the probability measure at those points [159].”
- A determination of parton distributions with faithful uncertainty estimation (2008, background): “If fitted by maximum likelihood, such independent measurements will automatically be combined into their weighted average [45].”
- Traveling to Violence: The Case for a Mobility-Based Spatial Typology of Homicide (2005, methodology): “All analyses were performed using STATA Version 7.0 (Stata Corp 2001) statistical software.”
- Top flavour-changing neutral coupling signals at a linear collider (2000, methodology): “In such case, we use the estimator based on the P number (see for example [26]).”
- Progress in the Determination of the Partonic Structure of the Proton (2013, methodology): “The first (so-called Hessian) option is based on the standard leastsquares method [84].”
- KASCADE measurements of energy spectra for elemental groups of cosmic rays: Results and open problems (2005, background): “Details about their use in unfolding analyses can be found in [31].”
- Accelerated expansion from ghost-free bigravity: a statistical analysis with improved generality (2012, background): “[69], and for some discussions about the differences between the two approaches in data analysis, see [70, 71, 72] and references therein).”