Handbook of Tables for Order Statistics from Lognormal Distributions with Applications:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
1999
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Lognormal distributions are one of the most commonly studied models in the sta tistical literature while being most frequently used in the applied literature. The lognormal distributions have been used in problems arising from such diverse fields as hydrology, biology, communication engineering, environmental science, reliability, agriculture, medical science, mechanical engineering, material science, and pharma cology. Though the lognormal distributions have been around from the beginning of this century (see Chapter 1), much of the work concerning inferential methods for the parameters of lognormal distributions has been done in the recent past. Most of these methods of inference, particUlarly those based on censored samples, involve extensive use of numerical methods to solve some nonlinear equations. Order statistics and their moments have been discussed quite extensively in the literature for many distributions. It is very well known that the moments of order statistics can be derived explicitly only in the case of a few distributions such as exponential, uniform, power function, Pareto, and logistic. In most other cases in cluding the lognormal case, they have to be numerically determined. The moments of order statistics from a specific lognormal distribution have been tabulated ear lier. However, the moments of order statistics from general lognormal distributions have not been discussed in the statistical literature until now primarily due to the extreme computational complexity in their numerical determination |
| Beschreibung: | 1 Online-Ressource (XIII, 868 p) |
| ISBN: | 9781461553090 9780792357124 |
| DOI: | 10.1007/978-1-4615-5309-0 |
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| 500 | |a Lognormal distributions are one of the most commonly studied models in the sta tistical literature while being most frequently used in the applied literature. The lognormal distributions have been used in problems arising from such diverse fields as hydrology, biology, communication engineering, environmental science, reliability, agriculture, medical science, mechanical engineering, material science, and pharma cology. Though the lognormal distributions have been around from the beginning of this century (see Chapter 1), much of the work concerning inferential methods for the parameters of lognormal distributions has been done in the recent past. Most of these methods of inference, particUlarly those based on censored samples, involve extensive use of numerical methods to solve some nonlinear equations. Order statistics and their moments have been discussed quite extensively in the literature for many distributions. It is very well known that the moments of order statistics can be derived explicitly only in the case of a few distributions such as exponential, uniform, power function, Pareto, and logistic. In most other cases in cluding the lognormal case, they have to be numerically determined. The moments of order statistics from a specific lognormal distribution have been tabulated ear lier. However, the moments of order statistics from general lognormal distributions have not been discussed in the statistical literature until now primarily due to the extreme computational complexity in their numerical determination | ||
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Datensatz im Suchindex
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| author | Balakrishnan, N. |
| author_facet | Balakrishnan, N. |
| author_role | aut |
| author_sort | Balakrishnan, N. |
| author_variant | n b nb |
| building | Verbundindex |
| bvnumber | BV042420901 |
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| dewey-full | 519.5 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5 |
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| dewey-sort | 3519.5 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-1-4615-5309-0 |
| format | Electronic eBook |
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| indexdate | 2024-07-10T01:21:07Z |
| institution | BVB |
| isbn | 9781461553090 9780792357124 |
| language | English |
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| spelling | Balakrishnan, N. Verfasser aut Handbook of Tables for Order Statistics from Lognormal Distributions with Applications by N. Balakrishnan, William W. S. Chen Boston, MA Springer US 1999 1 Online-Ressource (XIII, 868 p) txt rdacontent c rdamedia cr rdacarrier Lognormal distributions are one of the most commonly studied models in the sta tistical literature while being most frequently used in the applied literature. The lognormal distributions have been used in problems arising from such diverse fields as hydrology, biology, communication engineering, environmental science, reliability, agriculture, medical science, mechanical engineering, material science, and pharma cology. Though the lognormal distributions have been around from the beginning of this century (see Chapter 1), much of the work concerning inferential methods for the parameters of lognormal distributions has been done in the recent past. Most of these methods of inference, particUlarly those based on censored samples, involve extensive use of numerical methods to solve some nonlinear equations. Order statistics and their moments have been discussed quite extensively in the literature for many distributions. It is very well known that the moments of order statistics can be derived explicitly only in the case of a few distributions such as exponential, uniform, power function, Pareto, and logistic. In most other cases in cluding the lognormal case, they have to be numerically determined. The moments of order statistics from a specific lognormal distribution have been tabulated ear lier. However, the moments of order statistics from general lognormal distributions have not been discussed in the statistical literature until now primarily due to the extreme computational complexity in their numerical determination Statistics Electronic data processing System safety Civil engineering Statistics, general Numeric Computing Civil Engineering Quality Control, Reliability, Safety and Risk Datenverarbeitung Statistik Gauss-Markov-Schätzung (DE-588)4156104-1 gnd rswk-swf Tabelle (DE-588)4184303-4 gnd rswk-swf Logarithmische Normalverteilung (DE-588)4221613-8 gnd rswk-swf Logarithmische Normalverteilung (DE-588)4221613-8 s Tabelle (DE-588)4184303-4 s 1\p DE-604 Gauss-Markov-Schätzung (DE-588)4156104-1 s 2\p DE-604 Chen, William W. S. Sonstige oth https://doi.org/10.1007/978-1-4615-5309-0 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Balakrishnan, N. Handbook of Tables for Order Statistics from Lognormal Distributions with Applications Statistics Electronic data processing System safety Civil engineering Statistics, general Numeric Computing Civil Engineering Quality Control, Reliability, Safety and Risk Datenverarbeitung Statistik Gauss-Markov-Schätzung (DE-588)4156104-1 gnd Tabelle (DE-588)4184303-4 gnd Logarithmische Normalverteilung (DE-588)4221613-8 gnd |
| subject_GND | (DE-588)4156104-1 (DE-588)4184303-4 (DE-588)4221613-8 |
| title | Handbook of Tables for Order Statistics from Lognormal Distributions with Applications |
| title_auth | Handbook of Tables for Order Statistics from Lognormal Distributions with Applications |
| title_exact_search | Handbook of Tables for Order Statistics from Lognormal Distributions with Applications |
| title_full | Handbook of Tables for Order Statistics from Lognormal Distributions with Applications by N. Balakrishnan, William W. S. Chen |
| title_fullStr | Handbook of Tables for Order Statistics from Lognormal Distributions with Applications by N. Balakrishnan, William W. S. Chen |
| title_full_unstemmed | Handbook of Tables for Order Statistics from Lognormal Distributions with Applications by N. Balakrishnan, William W. S. Chen |
| title_short | Handbook of Tables for Order Statistics from Lognormal Distributions with Applications |
| title_sort | handbook of tables for order statistics from lognormal distributions with applications |
| topic | Statistics Electronic data processing System safety Civil engineering Statistics, general Numeric Computing Civil Engineering Quality Control, Reliability, Safety and Risk Datenverarbeitung Statistik Gauss-Markov-Schätzung (DE-588)4156104-1 gnd Tabelle (DE-588)4184303-4 gnd Logarithmische Normalverteilung (DE-588)4221613-8 gnd |
| topic_facet | Statistics Electronic data processing System safety Civil engineering Statistics, general Numeric Computing Civil Engineering Quality Control, Reliability, Safety and Risk Datenverarbeitung Statistik Gauss-Markov-Schätzung Tabelle Logarithmische Normalverteilung |
| url | https://doi.org/10.1007/978-1-4615-5309-0 |
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