Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
28420 | 207 | 23.8 | 31% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Cluster id | Level | Cluster label | #P |
---|---|---|---|
9 | 4 | COMPUTER SCIENCE, THEORY & METHODS//COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE//COMPUTER SCIENCE, INFORMATION SYSTEMS | 1247339 |
377 | 3 | TOPOLOGY OPTIMIZATION//STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION//LATTICE RULES | 32367 |
3507 | 2 | SPECTRAL TEST//RANDOM NUMBERS//UNIFORM PSEUDORANDOM NUMBERS | 1428 |
28420 | 1 | STRD//GNUMERIC//SOFTWARE ACCURACY | 207 |
Terms with highest relevance score |
rank | Term | termType | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|---|
1 | STRD | authKW | 1032598 | 3% | 100% | 7 |
2 | GNUMERIC | authKW | 442542 | 1% | 100% | 3 |
3 | SOFTWARE ACCURACY | authKW | 331905 | 1% | 75% | 3 |
4 | GENERALIZED CHOLESKY | authKW | 295028 | 1% | 100% | 2 |
5 | GRAM SCHMIDT METHODS | authKW | 295028 | 1% | 100% | 2 |
6 | TESTU01 | authKW | 295028 | 1% | 100% | 2 |
7 | 3D PARAMETER ESTIMATION | authKW | 147514 | 0% | 100% | 1 |
8 | 6 SIGMA | address | 147514 | 0% | 100% | 1 |
9 | ACCURACY OF STATISTICAL DISTRIBUTIONS | authKW | 147514 | 0% | 100% | 1 |
10 | BUSINESS STATISTICS COURSES | authKW | 147514 | 0% | 100% | 1 |
Web of Science journal categories |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | Statistics & Probability | 4821 | 37% | 0% | 77 |
2 | Computer Science, Interdisciplinary Applications | 1310 | 22% | 0% | 45 |
3 | Dentistry, Oral Surgery & Medicine | 573 | 14% | 0% | 28 |
4 | Social Sciences, Mathematical Methods | 103 | 3% | 0% | 6 |
5 | Management | 68 | 4% | 0% | 9 |
6 | Economics | 50 | 6% | 0% | 13 |
7 | Medical Informatics | 44 | 2% | 0% | 4 |
8 | Engineering, Petroleum | 37 | 1% | 0% | 3 |
9 | History & Philosophy of Science | 31 | 1% | 0% | 3 |
10 | Mathematics, Interdisciplinary Applications | 24 | 3% | 0% | 6 |
Address terms |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | 6 SIGMA | 147514 | 0% | 100% | 1 |
2 | CORP VALIDAT | 147514 | 0% | 100% | 1 |
3 | DISCIPLINE BIOINFORMAT | 147514 | 0% | 100% | 1 |
4 | HLTH SCI INFORMAT PROGRAM DEV | 147514 | 0% | 100% | 1 |
5 | NAVAL COMMAND STAFF | 147514 | 0% | 100% | 1 |
6 | PESQUISAS MATEMAT COMPUTAC CPMAT | 147514 | 0% | 100% | 1 |
7 | PROJECT MANAGEMENT SYST DYNAM | 147514 | 0% | 100% | 1 |
8 | SMITH S 5049 | 147514 | 0% | 100% | 1 |
9 | VIRTUAL DATA PROJECT | 147514 | 0% | 100% | 1 |
10 | CORP QA | 73756 | 0% | 50% | 1 |
Journals |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | BIOPHARM-THE TECHNOLOGY & BUSINESS OF BIOPHARMACEUTICALS | 36869 | 2% | 5% | 5 |
2 | COMPUTATIONAL STATISTICS & DATA ANALYSIS | 34529 | 16% | 1% | 34 |
3 | BIOPHARM INTERNATIONAL-THE APPLIED TECHNOLOGIES OF BIOPHARMACEUTICAL DEVELOPMENT | 21850 | 1% | 7% | 2 |
4 | OILFIELD REVIEW | 15524 | 1% | 5% | 2 |
5 | AMERICAN STATISTICIAN | 12319 | 6% | 1% | 12 |
6 | ANNALS OF THE HISTORY OF COMPUTING | 8904 | 1% | 2% | 3 |
7 | CONTRIBUTIONS TO STATISTICS | 6693 | 3% | 1% | 6 |
8 | STATISTICIAN | 5443 | 2% | 1% | 4 |
9 | BIOPHARM-THE APPLIED TECHNOLOGIES OF BIOPHARMACEUTICAL DEVELOPMENT | 3330 | 1% | 1% | 2 |
10 | PAIN CLINIC | 3297 | 1% | 1% | 3 |
Author Key Words |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
LCSH search | Wikipedia search |
---|---|---|---|---|---|---|---|
1 | STRD | 1032598 | 3% | 100% | 7 | Search STRD | Search STRD |
2 | GNUMERIC | 442542 | 1% | 100% | 3 | Search GNUMERIC | Search GNUMERIC |
3 | SOFTWARE ACCURACY | 331905 | 1% | 75% | 3 | Search SOFTWARE+ACCURACY | Search SOFTWARE+ACCURACY |
4 | GENERALIZED CHOLESKY | 295028 | 1% | 100% | 2 | Search GENERALIZED+CHOLESKY | Search GENERALIZED+CHOLESKY |
5 | GRAM SCHMIDT METHODS | 295028 | 1% | 100% | 2 | Search GRAM+SCHMIDT+METHODS | Search GRAM+SCHMIDT+METHODS |
6 | TESTU01 | 295028 | 1% | 100% | 2 | Search TESTU01 | Search TESTU01 |
7 | 3D PARAMETER ESTIMATION | 147514 | 0% | 100% | 1 | Search 3D+PARAMETER+ESTIMATION | Search 3D+PARAMETER+ESTIMATION |
8 | ACCURACY OF STATISTICAL DISTRIBUTIONS | 147514 | 0% | 100% | 1 | Search ACCURACY+OF+STATISTICAL+DISTRIBUTIONS | Search ACCURACY+OF+STATISTICAL+DISTRIBUTIONS |
9 | BUSINESS STATISTICS COURSES | 147514 | 0% | 100% | 1 | Search BUSINESS+STATISTICS+COURSES | Search BUSINESS+STATISTICS+COURSES |
10 | CALIBRATION AND MEASUREMENT ASSURANCE | 147514 | 0% | 100% | 1 | Search CALIBRATION+AND+MEASUREMENT+ASSURANCE | Search CALIBRATION+AND+MEASUREMENT+ASSURANCE |
Core articles |
The table includes core articles in the class. The following variables is taken into account for the relevance score of an article in a cluster c: (1) Number of references referring to publications in the class. (2) Share of total number of active references referring to publications in the class. (3) Age of the article. New articles get higher score than old articles. (4) Citation rate, normalized to year. |
Rank | Reference | # ref. in cl. |
Shr. of ref. in cl. |
Citations |
---|---|---|---|---|
1 | MELARD, G , (2014) ON THE ACCURACY OF STATISTICAL PROCEDURES IN MICROSOFT EXCEL 2010.COMPUTATIONAL STATISTICS. VOL. 29. ISSUE 5. P. 1095 -1128 | 19 | 90% | 5 |
2 | ALMIRON, MG , LOPES, B , OLIVEIRA, ALC , MEDEIROS, AC , FRERY, AC , (2010) ON THE NUMERICAL ACCURACY OF SPREADSHEETS.JOURNAL OF STATISTICAL SOFTWARE. VOL. 34. ISSUE 4. P. 1-29 | 21 | 68% | 6 |
3 | MCCULLOUGH, BD , YALTA, AT , (2013) SPREADSHEETS IN THE CLOUD - NOT READY YET.JOURNAL OF STATISTICAL SOFTWARE. VOL. 52. ISSUE 7. P. - | 14 | 93% | 0 |
4 | KEELING, KB , PAVUR, RJ , (2011) STATISTICAL ACCURACY OF SPREADSHEET SOFTWARE.AMERICAN STATISTICIAN. VOL. 65. ISSUE 4. P. 265-273 | 14 | 93% | 7 |
5 | YALTA, AT , YALTA, AY , (2010) SHOULD ECONOMISTS USE OPEN SOURCE SOFTWARE FOR DOING RESEARCH?.COMPUTATIONAL ECONOMICS. VOL. 35. ISSUE 4. P. 371 -394 | 21 | 57% | 6 |
6 | ODEH, OO , FEATHERSTONE, AM , BERGTOLD, JS , (2010) RELIABILITY OF STATISTICAL SOFTWARE.AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS. VOL. 92. ISSUE 5. P. 1472 -1489 | 15 | 75% | 2 |
7 | YALTA, AT , JENAL, O , (2009) ON THE IMPORTANCE OF VERIFYING FORECASTING RESULTS.INTERNATIONAL JOURNAL OF FORECASTING. VOL. 25. ISSUE 1. P. 62-73 | 15 | 71% | 2 |
8 | DE ALMEIDA, ES , MEDEIROS, AC , FRERY, AC , (2012) HOW GOOD ARE MATLAB, OCTAVE AND SCILAB FOR COMPUTATIONAL MODELLING?.COMPUTATIONAL & APPLIED MATHEMATICS. VOL. 31. ISSUE 3. P. 523-538 | 9 | 100% | 0 |
9 | ALMIRON, MG , ALMEIDA, ES , MIRANDA, MN , (2009) THE RELIABILITY OF STATISTICAL FUNCTIONS IN FOUR SOFTWARE PACKAGES FREELY USED IN NUMERICAL COMPUTATION.BRAZILIAN JOURNAL OF PROBABILITY AND STATISTICS. VOL. 23. ISSUE 2. P. 107 -119 | 10 | 83% | 7 |
10 | HARGREAVES, BR , MCWILLIAMS, TP , (2010) POLYNOMIAL TRENDLINE FUNCTION FLAWS IN MICROSOFT EXCEL.COMPUTATIONAL STATISTICS & DATA ANALYSIS. VOL. 54. ISSUE 4. P. 1190-1196 | 8 | 100% | 3 |
Classes with closest relation at Level 1 |