Results 1 to 10 of about 1,161,301 (313)

Edgeworth Coefficients for Standard Multivariate Estimates

Axioms
I give for the first time explicit formulas for the coefficients needed for the fourth-order Edgeworth expansions of a multivariate standard estimate. I call these the Edgeworth coefficients.
Christopher Stroude Withers
doaj   +3 more sources

Prostate gland volume estimation: anteroposterior diameters measured on axial versus sagittal ultrasonography and magnetic resonance images [PDF]

Ultrasonography, 2023
Purpose The aim of this study was to evaluate the accuracy of prostate volume estimates calculated from the ellipsoid formula using the anteroposterior (AP) diameter measured on axial and sagittal images obtained through ultrasonography (US) and magnetic
Seo Yeon Youn, Moon Hyung Choi, Young Joon Lee, Robert Grimm, Heinrich von Busch, Dongyeob Han, Yohan Son, Bin Lou, Ali Kamen   +8 more
doaj   +1 more source

Estimation of Standard Auction Models

Proceedings of the 23rd ACM Conference on Economics and Computation, 2022
We provide efficient estimation methods for first- and second-price auctions under independent (asymmetric) private values and partial observability. Given a finite set of observations, each comprising the identity of the winner and the price they paid in a sequence of identical auctions, we provide algorithms for non-parametrically estimating the bid ...
Yeshwanth Cherapanamjeri, Constantinos Daskalakis, Andrew Ilyas, Manolis Zampetakis   +3 more
openaire   +3 more sources

Assessment of the standard precipitation frequency estimates in the United States

Journal of Hydrology: Regional Studies, 2022
Study region: The Conterminous United States Study focus: The NOAA Atlases have provided the standard precipitation frequency estimates (PFEs) for over two decades in the United States, but they are losing that status due to climate change.
Jungho Kim, Evelyn Shu, Kelvin Lai, Mike Amodeo, Jeremy Porter, Ed Kearns   +5 more
doaj   +1 more source

Comparing Several Missing Data Estimation Methods in Linear Regression;Real Data Example and A Simulation Study

Cauchy: Jurnal Matematika Murni dan Aplikasi, 2023
Analysis on incomplete could lead to biased estimation when using standard statistical procedure since it ignores the missing observations. The disadvantage of ignoring missing data is that the researcher might not have enough data to conduct an analysis.
Anwar Fitrianto, Jap Ee Jia, Budi Susetyo, La Ode Abdul Rahman   +3 more
doaj   +1 more source

Frequentist standard errors of Bayes estimators [PDF]

Computational Statistics, 2017
Frequentist standard errors are a measure of uncertainty of an estimator, and the basis for statistical inferences. Frequestist standard errors can also be derived for Bayes estimators. However, except in special cases, the computation of the standard error of Bayesian estimators requires bootstrapping, which in combination with Markov chain Monte ...
DongHyuk Lee, Raymond J. Carroll, Samiran Sinha   +2 more
openaire   +2 more sources

Estimating complete cancer prevalence in Europe: validity of alternative vs standard completeness indexes

Frontiers in Oncology, 2023
IntroductionComparable indicators on complete cancer prevalence are increasingly needed in Europe to support survivorship care planning. Direct measures can be biased by limited registration time and estimates are needed to recover long term survivors ...
Elena Demuru, Silvia Rossi, Leonardo Ventura, Luigino Dal Maso, Stefano Guzzinati, Alexander Katalinic, Sebastien Lamy, Valerie Jooste, Corrado Di Benedetto, Roberta De Angelis, the EUROCARE-6 Working Group, M. Hackl, E. Van Eycken, N. Van Damme, Z. Valerianova, M. Sekerija, V. Scoutellas, A. Demetriou, L. Dušek, D. Krejici, H. Storm, M. Mägi, K. Innos, N. Malila, J. Pitkäniemi, M. Velten, X. Troussard, A.M. Bouvier, V. Jooste, A.V. Guizard, S. Dabakuyo Yonli, M. Maynadié, J.B. Nousbaum, G. Coureau, A. Monnereau, I. Baldi, K. Hammas, B. Tretarre, M. Colonna, S. Plouvier, T. D’Almeida, F. Molinié, A. Cowppli-Bony, S. Bara, G. Defossez, B. LapÔtre-Ledoux, P. Grosclaude, L. Daubisse-Marliac, S. Luttmann, R. Stabenow, A. Nennecke, J. Kieschke, S. Zeissig, B. Holleczek, A. Katalinic, H. Birgisson, D. Murray, P.M. Walsh, G. Mazzoleni, F. Vittadello, F. Cuccaro, R. Galasso, G. Sampietro, S. Rosso, C. Gasparotti, G. Maifredi, M. Ferrante, R. Ragusa, M.L. Gambino, M. Lanzoni, P. Ballotari, E. Giacomazzi, S. Ferretti, A. Caldarella, G. Manneschi, G. Gatta, M. Sant, P. Baili, F. Berrino, L. Botta, A. Trama, R. Lillini, A. Bernasconi, L. Bonfarnuzzo, C. Vener, F. Didoné, P. Lasalvia, G. Del Monego, L. Buratti, G. Tagliabue, D. Serraino, L. Dal Maso, R. Capocaccia, R. De Angelis, E. Demuru, C. Di Benedetto, S. Rossi, M. Santaquilani, S. Venanzi, M. Tallon, L. Boni, S. Iacovacci, V. Gennaro, A.G. Russo, F. Gervasi, G. Spagnoli, L. Cavalieri d’’Oro, M. Fusco, M.F. Vitale, M. Usala, W. Mazzucco, M. Michiara, G. Chiranda, G. Cascone, C.P. Rollo, L. Mangone, F. Falcini, R. Cavallo, D. Piras, A. Madeddu, F. Bella, A.C. Fanetti, S. Minerba, G. Candela, T. Scuderi, R.V. Rizzello, M. Rugge, A. Brustolin, S. Pildava, G. Smailyte, M. Azzopardi, T.B. Johannesen, J. Didkowska, U. Wojciechowska, M. Bielska-Lasota, A. Pais, J. Rodrigues, M.J. Bento, A. Miranda, V. Zadnik, T. Zagar, C. Sánchez-Contador Escudero, P. Franch Sureda, A. Lopez de Munain, M. De-La-Cruz, M.D. Rojas, A. Aleman, A. Vizcaino, R. Marcos-Gragera, A. Sanvisens, M.J. Sanchez, M.D. Chirlaque, A. Sanchez-Gil, M. Guevara, E. Ardanaz, A. Ameijide, C. Carulla, Y. Bergeron, C. Bouchardy, S. Mohsen Mousavi, P. Went, M. Blum, A. Bordoni, O. Visser, S. Stevens, J. Broggio, A. Gavin, D. Morrison, D.W. Huws   +168 more
doaj   +1 more source

Estimating true standard deviations [PDF]

Frontiers in Psychology, 2014
A basic statistic that students learn about in their classes is the standard deviation. Like any statistic, standard deviations are influenced by systematic factors and randomness. I propose that researchers should report “corrected” or “true” standard deviations and I show how to calculate them.
openaire   +3 more sources

Estimation accuracy of non-standard maximum likelihood estimators [PDF]

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
In many deterministic estimation problems, the probability density function (p.d.f.) parameterized by unknown deterministic parameters results from the marginalization of a joint p.d.f. depending on additional random variables. Unfortunately, this marginalization is often mathematically intractable, which prevents from using standard maximum likelihood
Kbayer, Nabil, Galy, Jérôme, Chaumette, Eric, Vincent, François, Renaux, Alexandre, Larzabal, Pascal   +5 more
openaire   +2 more sources

Standard filtration practices may significantly distort planktonic microbial diversity estimates

Frontiers in Microbiology, 2015
Fractionation of biomass by filtration is a standard method for sampling planktonic microbes. It is unclear how the taxonomic composition of filtered biomass changes depending on sample volume.
Cory Cruz Padilla, Sangita eGanesh, Shelby eGantt, Alexandra eHuhman, Darren Joshua Parris, Neha eSarode, Frank eStewart   +6 more
doaj   +1 more source