Display of probability densities for data from a continuous distribution

Anderson BD; Aniol KA; Auerbach L; Baker FT; Berthot J; Bertin PY; Bertozzi W; Bimbot L; Boeglin WU; Brash EJ; Breton V; Breuer H; Burtin E; Calarco JR; Cardman LS; Cates GD; Cavata C; Chang CC; Chen JP; Cisbani E; d'Hose N; Dale DS; de Jager CW; De Leo R; Debruyne D; Deur A; Diederich B; Djawotho P; Domingo J; Ducret JE; Epstein MB; Ewell LA; Finn JM; Fissum KG; Fonvieille H; Frois B; Frullani S; Gao J; Garibaldi F; Gasparian A; Gilad S; Gilman R; Glamazdin A; Glashausser C; Gomez J; Gorbenko V; Gorringe T; Hersman FW; Holmes R; Holtrop M; Howell C; Huber GM; Hyde-Wright CE; Iodice M; Jaminion S; Jones MK; Joo K; Jutier C; Kahl W; Kato S; Kelly JJ; Kerhoas S; Khandaker M; Khayat M; Kino K; Korsch W; Kramer L; Kumar KS; Kumbartzki G; Laveissiere G; Leone A; LeRose JJ; Levchuk L; Liang M; Lindgren RA; Liyanage N; Lolos GJ; Lourie RW; Madey R; Maeda K; Malov S; Manley DM; Margaziotis DJ; Markowitz P; Martino J; McCarthy JS; McCormick K; McIntyre J; Meziani ZE; Michaels R; Mougey J; Nanda S; Neyret D; Offermann EAJM; Papandreou Z; Perdrisat CF; Perrino R; Petratos GG; Platchkov S; Pomatsalyuk R; Prout DL; Punjabi VA; Pussieux T; Quemener G; Ransome RD; Ravel O; Roblin Y; Roche R; Rowntree D; Rutledge GA; Rutt PM; Ryckebusch J; Saha A; Saito T; Sarty AJ; Serdarevic-Offermann A; Smith TP; Soldi A; Sorokin P; Souder P; Suleiman R; Templon JA; Terasawa T; Todor L; Tsubota H; Udias JM; Ueno H; Ulmer PE; Urciuoli GM; van der Meer RLJ; van Verst S; Vernin P; Vignote JR; Vlahovic B; Voskanyan H; Watson JW; Weinstein LB; Wijesooriya K; Wojtsekhowski B; Zainea DG; Zeps V; Zhao J; Zhou ZL

research

Display of probability densities for data from a continuous distribution

Authors: Anderson BD
Aniol KA
Auerbach L
Baker FT
Berthot J
Bertin PY
Bertozzi W
Bimbot L
Boeglin WU
Brash EJ
Breton V
Breuer H
Burtin E
Calarco JR
Cardman LS
Cates GD
Cavata C
Chang CC
Chen JP
Cisbani E
d'Hose N
Dale DS
de Jager CW
De Leo R
Debruyne D
Deur A
Diederich B
Djawotho P
Domingo J
Ducret JE
Epstein MB
Ewell LA
Finn JM
Fissum KG
Fonvieille H
Frois B
Frullani S
Gao J
Garibaldi F
Gasparian A
Gilad S
Gilman R
Glamazdin A
Glashausser C
Gomez J
Gorbenko V
Gorringe T
Hersman FW
Holmes R
Holtrop M
Howell C
Huber GM
Hyde-Wright CE
Iodice M
Jaminion S
Jones MK
Joo K
Jutier C
Kahl W
Kato S
Kelly JJ
Kerhoas S
Khandaker M
Khayat M
Kino K
Korsch W
Kramer L
Kumar KS
Kumbartzki G
Laveissiere G
Leone A
LeRose JJ
Levchuk L
Liang M
Lindgren RA
Liyanage N
Lolos GJ
Lourie RW
Madey R
Maeda K
Malov S
Manley DM
Margaziotis DJ
Markowitz P
Martino J
McCarthy JS
McCormick K
McIntyre J
Meziani ZE
Michaels R
Mougey J
Nanda S
Neyret D
Offermann EAJM
Papandreou Z
Perdrisat CF
Perrino R
Petratos GG
Platchkov S
Pomatsalyuk R
Prout DL
Punjabi VA
Pussieux T
Quemener G
Ransome RD
Ravel O
Roblin Y
Roche R
Rowntree D
Rutledge GA
Rutt PM
Ryckebusch J
Saha A
Saito T
Sarty AJ
Serdarevic-Offermann A
Smith TP
Soldi A
Sorokin P
Souder P
Suleiman R
Templon JA
Terasawa T
Todor L
Tsubota H
Udias JM
Ueno H
Ulmer PE
Urciuoli GM
van der Meer RLJ
van Verst S
Vernin P
Vignote JR
Vlahovic B
Voskanyan H
Watson JW
Weinstein LB
Wijesooriya K
Wojtsekhowski B
Zainea DG
Zeps V
Zhao J
Zhou ZL
Publication date: 1 January 2004
Publisher
Doi

Abstract

Based on cumulative distribution functions, Fourier series expansion and Kolmogorov tests, we present a simple method to display probability densities for data drawn from a continuous distribution. It is often more efficient than using histograms.Comment: 5 pages, 4 figures, presented at Computer Simulation Studies XXIV, Athens, GA, 201