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LEADER 00000nam a2200385 a 4500 
001       98110086 
008    980202t19971997hu a     b    000 0 eng   
010    98110086 
019 1  13700682 
019    98110086 
020    963057439X 
035    .b23905219 
041 1  eng|hhun 
050 00 QA276|b.O68 1997 
082 00 519.5|221 
245 00 Optimum methods in statistics /|cedited by Ferenc Steiner 
       ; [authors, L. Csernyák ... and others ; English text 
       revised by L. Zilahi-Sebess and J. Verő ; translated by E.
264  1 Budapest :|bAkadémiai Kiadó,|c[1997] 
264  4 |c©1997 
300    370 pages :|billustrations ;|c25 cm 
336    text|btxt|2rdacontent 
337    unmediated|bn|2rdamedia 
338    volume|bnc|2rdacarrier 
504    Includes bibliographical references (pages 351-362). 
505 0  1. Type-distance of probability distribution pairs -- 2. 
       Determinations of probability distribution types -- 3. 
       Norms of deviations and residuals -- 4. Different 
       characteristics for the dispersion of data -- 5. 
       Asymptotic scatter characterising the accuracy of the 
       determinations of the location parameter -- 6. Statistical
       efficiencies -- 7. Indices of robustness for 
       characterizing the weak or strong dependency of 
       efficiencies upon the error distribution types -- 8. 
       Resistance against outliers. Breakdown bounds for the 
       practice -- 9. Generalized and robustified covariance and 
       correlation matrix -- 10. Examples to show the application
       of modern optimum methods -- App. I. Basic difference 
       between the determination method of the scale parameter 
       between the maximum likelihood principle (applied as 
       [actual symbol not reproduciable]) and the MFV-procedures 
       (minimizing the information loss) / L. Csernyak -- App. 
       II. Determination of type using sample range / L. 
505 8  App. III. Comment on an old dogma: "The data are normally 
       distributed" / P. Szucs -- App. IV. Opposite behaviour of 
       the P-norms compared to that of the L[subscript 2]-norm 
       with respect to the simultaneously achieved accuracy in 
       the space- and frequency-domain / F. Steiner and B. 
       Hajagos -- App. V. Theoretical and practical consequences 
       of the global optimization methods / P. Szucs -- App. VI. 
       MFV-filtering to suppress errors. - A comparison with 
       median filters / B. Hajagos and F. Steiner -- App. VII. 
       "Built-in" statistics in geophysical instruments / B. 
       Hajagos and F. Steiner -- App. VIII. Symmetrical stable 
       probability distributions nearest lying to the types of 
       the super-model [actual symbol not reproducible] / B. 
       Hajagos and F. Steiner -- App. IX. MFV-corrected variances
       / F. Steiner, B. Hajagos and G. Hursan -- Acknowledgement 
       - Concluding meditation of the editor. 
520    After an introduction on the philosophy of most frequent 
       value (MFV) procedure, chapters deal with different 
       problems, such as type- distance of probability 
       distribution pairs, determination of probability 
       distribution types, norms of deviations and residuals, 
       different characteristics for the dispersion of data, 
       asymptotic scatter characterizing the accuracy of the 
       determinations of the location parameter, statistical 
       efficiencies, indices of robustness, resistance against 
       outliers, generalized and robustified covariance and 
       correlation matrix, and applications of modern optimum 
       methods. Awkwardly translated from Hungarian. No index. 
       Distributed by ISBS. Annotation copyrighted by Book News, 
       Inc., Portland, OR 
650  0 Mathematical statistics.|0
650  0 Mathematical optimization.|0
700 1  Steiner, Ferenc.|0
700 1  Csernyák, L.|0
907    .b23905219 
984    2015|cheld 
990    MARCIVE MELB 201906 
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