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040   $aBibl. Dip.le Aggr. Matematica e Fisica - Sez. Matematica$beng
082 04$a516.3
084   $aLC QA551
084   $aAMS 51-XX
100 1 $aBompiani, Enrico$054587
245 10$aCorso di geometria analitica e proiettiva /$cEnrico Bompiani
260   $aRoma :$bTipo-litografia Romolo Pioda,$c[195.]
300   $a2 v. ;$c25 cm
505 0 $gVol. 1:$tLezioni. -$g451 p.
505 0 $gVol. 2:$tEsercizi e complementi. -$g464 p.
650  4$aGeometry, Analytic
912   $a991004284338407536
996   $aCorso di geometria analitica e proiettiva$93396067
997   $aUNISALENTO

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100   $a20180611d2012      uy         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aStationary stochastic processes $etheory and applications /$fby Georg Lindgren
205   $aFirst edition.
210  1$aBoca Raton, FL :$cChapman and Hall/CRC, an imprint of Taylor and Francis,$d2012.
215   $a1 online resource (367 p.)
225 1 $aChapman & Hall/CRC Texts in Statistical Science Series
300   $a"A Chapman & Hall Book."
311 08$a9781466557796 
311 08$a1466557796 
320   $aIncludes bibliographical references.
327   $aFront Cover; Dedication; Contents; List of figures; Preface; Acknowledgments; List of notations; 1. Some probability and process background; 2. Sample function properties; 3. Spectral representations; 4. Linearfilters - general properties; 5. Linearfilters - special topics; 6. Classical ergodic theory and mixing; 7. Vector processes and random fields; 8. Level crossings and excursions; A. Some probability theory; B. Spectral simulation of random processes; C. Commonly used spectra; D. Solutions and hints to selected exercises; Bibliography
330 3 $aIntended for a second course in stationary processes, Stationary Stochastic Processes: Theory and Applications presents the theory behind the field?s widely scattered applications in engineering and science. In addition, it reviews sample function properties and spectral representations for stationary processes and fields, including a portion on stationary point processes.
410  0$aTexts in statistical science.
606   $aStationary processes
606   $aStochastic analysis
615  0$aStationary processes.
615  0$aStochastic analysis.
676   $a519.2/2
686   $aMAT029000$aMAT029010$2bisacsh
700   $aLindgren$b Georg$f1940-$0491608
801  0$bFlBoTFG
801  1$bFlBoTFG
906   $aBOOK
912   $a9910970875503321
996   $aStationary stochastic processes$94334569
997   $aUNINA