|
|
|
|
LEADER |
00000cam a22000004a 4500 |
001 |
4333545 |
003 |
ICU |
005 |
20201229130950.4 |
008 |
000412s2000 maua b 001 0 eng |
010 |
|
|
|a 00039791
|
020 |
|
|
|a 0817641076 (acid-free paper)
|
020 |
|
|
|a 3764341076
|
035 |
|
|
|a 39791
|
035 |
|
|
|a (OCoLC)43937004
|
040 |
|
|
|a DLC
|c DLC
|d DLC
|d OCoLC
|d OrLoB-B
|
042 |
|
|
|a pcc
|
050 |
0 |
0 |
|a QA276.4
|b .A29 2000
|
082 |
0 |
0 |
|a 519.5
|2 21
|
245 |
0 |
0 |
|a Advances in stochastic simulation methods /
|c N. Balakrishnan, V.B. Melas, S. Ermakov, editors.
|
260 |
|
|
|a Boston :
|b Birkheauser,
|c c2000.
|
300 |
|
|
|a xxvi, 386 p. :
|b ill. ;
|c 26 cm.
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|0 http://id.loc.gov/vocabulary/contentTypes/txt
|
337 |
|
|
|a unmediated
|b n
|2 rdamedia
|0 http://id.loc.gov/vocabulary/mediaTypes/n
|
338 |
|
|
|a volume
|b nc
|2 rdacarrier
|0 http://id.loc.gov/vocabulary/carriers/nc
|
440 |
|
0 |
|a Statistics for industry and technology
|
504 |
|
|
|a Includes bibliographical references and index.
|
505 |
0 |
0 |
|g Pt. I.
|t Simulation Models --
|g 1.
|t Solving the Nonlinear Algebraic Equations with Monte Carlo Method /
|r S. Ermakov and I. Kaloshin --
|g 2.
|t Monte Carlo Algorithms For Neumann Boundary Value Problem Using Fredholm Representation /
|r Y. N. Kashtanov and I. N. Kuchkova --
|g 3.
|t Estimation Errors for Functionals on Measure Spaces /
|r N. Golyandina and V. Nekrutkin --
|g 4.
|t The Multilevel Method of Dependent Tests /
|r Stefan Heinrich --
|g 5.
|t Algebraic Modelling and Performance Evaluation of Acyclic Fork-Join Queueing Networks /
|r Nikolai K. Krivulin --
|g Pt. II.
|t Experimental Designs --
|g 6.
|t Analytical Theory of E-Optimal Designs for Polynomial Regression /
|r V. B. Melas --
|g 7.
|t Bias Constrained Minimax Robust Designs for Misspecified Regression Models /
|r Douglas P. Wiens --
|g 8.
|t A Comparative Study of MV - and SMV-Optimal Designs for Binary Response Models /
|r J. Lopez-Fidalgo and W. K. Wong --
|g 9.
|t On the Criteria for Experimental Design in Nonlinear Error-In-Variables Models /
|r Silvelyn Zwansig --
|g 10.
|t On Generating and Classifying all a[superscript n-m-1] Regularly Blocked Factional Designs /
|r P. J. Laycock and P. J. Rowley --
|g 11.
|t Locally Optimal Designs in Non-Linear Regression: A Case Study of the Michaelis-Menten Function /
|r E. P. J. Boer, D. A. M. K. Rasch and E. M. T. Hendrix --
|g 12.
|t D-Optimal Designs for Quadratic Regression Models /
|r E. E. M. van Berkum, B. Pauwels and P. M. Upperman --
|g 13.
|t On the Use of Symmetry in Optimal Design of Experiments /
|r Vladimir Soloviov --
|g Pt. III.
|t Statistical Inference --
|g 14.
|t Higher Order Moments of Order Statistics from the Pareto Distribution and Edgeworth Approximate Inference /
|r Aaron Childs, K. S. Sultan and N. Balakrishnan --
|g 15.
|t Higher Order Moments of Order Statistics from the Power Function Distribution and Edgeworth Approximate Inference /
|r K. S. Sultan, Aaron Childs and N. Balakrishnan --
|g 16.
|t Selecting from Normal Populations the One with the Largest Absolute Mean: Comon Unknown Variance Case /
|r S. Jeyaratnam and S. Panchapakesan --
|g 17.
|t Conditional Inference for the Parameters of Pareto Distributions when Observed Samples are Progressively Censored /
|r Rita Aggarwala and Aaron Childs --
|g Pt. IV.
|t Applied Statistics and Related Topics --
|g 18.
|t On Randomizing Estimators in Linear Regression Models /
|r S. Ermakov and R. Schwabe --
|g 19.
|t Nonstationary Generalized Automata with Periodically Variable Parameters and Their Optimization /
|r A. Yu. Ponomareva and M. K. Tchirkov --
|g 20.
|t Power of Some Asymptotic Tests for Maximum Entropy /
|r M. Salicru, S. Vives and J. Ocana --
|g 21.
|t Partially Inversion of Functions for Statistical Modelling of Regulatory Systems /
|r A. G. Bart, N. P. Alexeyeff (Klochkova) and N. Botchkina --
|g 22.
|t Simple Efficient Estimation for Three-Parameter Lognormal Distributions with Applications to Emissions Data and State Traffic Rate Data /
|r N. Balakrishnan and Jun Wang.
|
650 |
|
0 |
|a Mathematical statistics
|x Data processing.
|0 http://id.loc.gov/authorities/subjects/sh85082137
|
650 |
|
0 |
|a Mathematical models.
|0 http://id.loc.gov/authorities/subjects/sh2002007921
|
650 |
|
0 |
|a Computer simulation.
|0 http://id.loc.gov/authorities/subjects/sh85029533
|
650 |
|
7 |
|a Computer simulation.
|2 fast
|0 http://id.worldcat.org/fast/fst00872518
|
650 |
|
7 |
|a Mathematical models.
|2 fast
|0 http://id.worldcat.org/fast/fst01012085
|
650 |
|
7 |
|a Mathematical statistics
|x Data processing.
|2 fast
|0 http://id.worldcat.org/fast/fst01012133
|
700 |
1 |
|
|a Balakrishnan, N.,
|d 1956-
|0 http://id.loc.gov/authorities/names/n86001403
|1 http://viaf.org/viaf/105085183
|
700 |
1 |
|
|a Melas, V. B.
|q (Vi︠a︡cheslav Borisovich)
|0 http://id.loc.gov/authorities/names/n95064779
|1 http://viaf.org/viaf/269501336
|
700 |
1 |
|
|a Ermakov, S. M.
|q (Sergeĭ Mikhaĭlovich)
|1 http://viaf.org/viaf/110633594
|0 http://id.loc.gov/authorities/names/n84159860
|
901 |
|
|
|a ToCBNA
|
903 |
|
|
|a HeVa
|
903 |
|
|
|a HeVa
|
929 |
|
|
|a cat
|
999 |
f |
f |
|i f4c09d92-90f2-598f-aa7c-0ef7988d8b8b
|s c1cb8a25-3a74-555e-87ff-001977f5ef56
|
928 |
|
|
|t Library of Congress classification
|a QA276.4 .A29 2000
|l ASR
|c ASR-SciASR
|i 4254648
|
927 |
|
|
|t Library of Congress classification
|a QA276.4 .A29 2000
|l ASR
|c ASR-SciASR
|e CRERAR
|b 56500019
|i 6918902
|