Non-Asymptotic Analysis of Approximations for Multivariate Statistics
Yasunori Fujikoshi, Vladimir V. Ulyanov
Informasi Umum
Kode
24.21.481
Klasifikasi
519.53 - Descriptive statistics, Multivariate analysis, Analysis of variance and covariance, Cluster analysis
Jenis
Buku - Elektronik (E-Book)
Subjek
Multivariate Analysis
No. Rak
11a
Informasi Lainnya
Abstraksi
This book presents recent non-asymptotic results for approximations in multivariate statistical analysis. The book is unique in its focus on results with the correct error structure for all the parameters involved. Firstly, it discusses the computable error bounds on correlation coefficients, MANOVA tests and discriminant functions studied in recent papers. It then introduces new areas of research in high-dimensional approximations for bootstrap procedures, Cornish–Fisher expansions, power-divergence statistics and approximations of statistics based on observations with random sample size. Lastly, it proposes a general approach for the construction of non-asymptotic bounds, providing relevant examples for several complicated statistics. It is a valuable resource for researchers with a basic understanding of multivariate statistics.
Koleksi & Sirkulasi
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Pengarang
| Nama | Yasunori Fujikoshi, Vladimir V. Ulyanov |
| Jenis | Perorangan |
| Penyunting | |
| Penerjemah |
Penerbit
| Nama | Springer |
| Kota | New York |
| Tahun | 2020 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
