Muutke küpsiste eelistusi

E-raamat: Methodology and Applications of Statistics: A Volume in Honor of C.R. Rao on the Occasion of his 100th Birthday

  • Formaat: EPUB+DRM
  • Sari: Contributions to Statistics
  • Ilmumisaeg: 04-Jan-2022
  • Kirjastus: Springer Nature Switzerland AG
  • Keel: eng
  • ISBN-13: 9783030836702
Teised raamatud teemal:
  • Formaat - EPUB+DRM
  • Hind: 184,63 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
  • Formaat: EPUB+DRM
  • Sari: Contributions to Statistics
  • Ilmumisaeg: 04-Jan-2022
  • Kirjastus: Springer Nature Switzerland AG
  • Keel: eng
  • ISBN-13: 9783030836702
Teised raamatud teemal:

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

Dedicated to one of the most outstanding researchers in the field of statistics, this volume in honor of C.R. Rao, on the occasion of his 100th birthday, provides a bird’s-eye view of a broad spectrum of research topics, paralleling C.R. Rao’s wide-ranging research interests. The book’s contributors comprise a representative sample of the countless number of researchers whose careers have been influenced by C.R. Rao, through his work or his personal aid and advice. As such, written by experts from more than 15 countries, the book’s original and review contributions address topics including statistical inference, distribution theory, estimation theory, multivariate analysis, hypothesis testing, statistical modeling, design and sampling, shape and circular analysis, and applications. The book will appeal to statistics researchers, theoretical and applied alike, and PhD students. Happy Birthday, C.R. Rao!

Preface.- Dedication.- Part I Inference.- Robust Statistical Inference
for One-shot Devices Based on Density Power Divergences: An Overview
(N. Balakrishnan, E. Castilla, L. Pardo).- Statistical Meaning of Mean
Functions: A Novel Matrix Mean Derived from Fisher Information, authors: A.M.
Kagan, P.J. Smith).- The Legend of the Equality of OLSE and BLUE: highlighted
by C.R. Rao in 1967 (A. Markiewicz, S. Puntanen, G.P.H. Styan).- Comparison
of Local Powers of Some Exact Tests for a Common Normal Mean with Unequal
Variances (Y.G. Kifle, A.M. Moluh, B.K. Sinha).- Quantile Function: Overview
of Collaboration with Professor C. R. Rao (G.J. Babu).- Part II
Distribution Theory.- Some Bivariate and Multivariate Models Involving
Independent Gamma Distributed Components (B.C. Arnold).- An Absolute
Continuous Bivariate Inverse Generalized Exponential Distribution:
Properties, Inference and Extensions (D. Kundu).- Part III Multivariate
Analysis.- The Likelihood Ratio Test of Equality of Mean Vectors with a
Doubly Exchangeable Covariance Matrix (C.A. Coelho, J. Pielaszkiewicz).-
Bilinear Regression with Rank Restrictions on the Mean and the Dispersion
Matrix (D. von Rosen).- Limiting Canonical Distribution of Two Large
Dimensional Random Vectors (Z. Bai, Z. Hou, J. Hu, D. Jiang, X. Zhang).- Some
Contributions to Multivariate Analysis due to C. R. Rao and Associated
Developments (Y. Fujikoshi).- On Testing Structures of the Covariance Matrix:
A Non-normal Approach (T. Kollo, M. Valge).- Part IV Design and Sampling.-
The Existence of Perpendicular Multi-arrays (K. Matsubara, S. Kageyama).-
Statistical Design Issues for fMRI Studies: A Beginners Training Manual
(B.K. Sinha, N.K. Mandal, M. Pal).- A Review of Rigorous Randomized Response
Methods for Protecting Respondent's Privacy and Data Confidentiality (T.
Nayak).- Part V Shape and Circular Analysis.- A Statistical Analysis of the
Cardioid Radial Growth Model (J.T. Kent, K.V. Mardia, L. Ippoliti, P.
Valentini).- A Flexible Family of Mixed Distributions for Discrete Linear and
Continuous Circular Random Variables (A. SenGupta, K. Shimizu, S.H. Ong, R.
Das).- Goodness of Fit for Wrapped Stable Distributions Based on the
Characteristic Function (S.G. Meintanis, S.R. Jammalamadaka, Q. Jin).- Part
VI Applications.- Partial Differential Equations Models and
Riemann-Stieltjes Integrals in Measuring Sustainability (A.S.R.S. Rao, S.
Saride).- Extreme Point Methodology in Power Calculations The Case of
Hardy-Weinberg Equilibrium (S. Venkatesan, M.B. Rao, H.-I. Hsiao).- Part VII
General.- On the Association of Professor C. R. Rao with the Poznan School
of Mathematical Statistics and Biometry (T.Calinski).
Barry C. Arnold is a Distinguished Professor of Statistics at the University of California, Riverside, USA. He is a Fellow of the American Statistical Association, the American Association for the Advancement of Science and of the Institute of Mathematical Statistics, and is an Elected Member of the International Statistical Institute. His research interests include order statistics, record values, inequality measurement and ordering, conditionally specified distributions, multivariate models, and income distributions.

Narayanaswamy Balakrishnan is a Distinguished University Professor at McMaster University, Hamilton, Canada. He is a Fellow of the American Statistical Association, Fellow of the Institute of Mathematical Statistics and an Elected Member of the International Statistical Institute. His research interests include ordered data analysis, censoring methodology, univariate and multivariate distribution theory, reliability theory, and survival analysis. He has recently been awarded an Honorary Doctorate by The National University of Athens, Greece.

Carlos A. Coelho is a Full Professor of Statistics at NOVA University of Lisbon, Portugal. He holds a Ph.D. in Biostatistics from the University of Michigan and his main research focuses on developing likelihood ratio tests in multivariate analysis and obtaining their exact distributions in closed finite form, whenever possible, or developing the so-called near-exact distributions for the other cases, which are sharp asymptotic distributions that are asymptotic for all parameters involved.