Tekijä: Y. H. Hui; L. Bernard Bruinsma; J. Richard Gorham; Wai-Kit Nip; Phillip S. Tong; Phil Ventresca Kustantaja: Taylor & Francis Inc (2002) Saatavuus: | Arvioimme, että tuote lähetetään meiltä noin 1-3 viikossa
Tekijä: David Aldous (toim.); Y. L. Tong (toim.) Kustantaja: Elsevier Science Publishing Co Inc (1985) Saatavuus: | Arvioimme, että tuote lähetetään meiltä noin 1-3 viikossa
Tekijä: Shu Chien; Peter C Y Chen; Geert W Schmid-schoenbein; Pin Tong; Savio L-y Woo Kustantaja: World Scientific Publishing Co Pte Ltd (2009) Saatavuus: Noin 15-18 arkipäivää
Tekijä: Frank Kreith; William F. Ames; George Cain; Y. L. Tong; W. Glenn Steele; Hugh W. Coleman; Richard L. Kautz; Da Frangopol Kustantaja: Taylor & Francis Inc (1999) Saatavuus: | Arvioimme, että tuote lähetetään meiltä noin 1-3 viikossa
Tekijä: William F. Ames; George Cain; Y.L. Tong; W. Glenn Steele; Hugh W. Coleman; Richard L. Kautz; Dan M. Frangopol; Pa Norton Kustantaja: Taylor & Francis Ltd (2019) Saatavuus: | Arvioimme, että tuote lähetetään meiltä noin 1-3 viikossa
Springer Sivumäärä: 271 sivua Asu: Pehmeäkantinen kirja Julkaisuvuosi: 2011, 06.12.2011 (lisätietoa) Kieli: Englanti
The multivariate normal distribution has played a predominant role in the historical development of statistical theory, and has made its appearance in various areas of applications. Although many of the results concerning the multivariate normal distribution are classical, there are important new results which have been reported recently in the literature but cannot be found in most books on multivariate analysis. These results are often obtained by showing that the multivariate normal density function belongs to certain large families of density functions. Thus, useful properties of such families immedi ately hold for the multivariate normal distribution. This book attempts to provide a comprehensive and coherent treatment of the classical and new results related to the multivariate normal distribution. The material is organized in a unified modern approach, and the main themes are dependence, probability inequalities, and their roles in theory and applica tions. Some general properties of a multivariate normal density function are discussed, and results that follow from these properties are reviewed exten sively. The coverage is, to some extent, a matter of taste and is not intended to be exhaustive, thus more attention is focused on a systematic presentation of results rather than on a complete listing of them.