1.

Record Nr.

UNINA9910459287203321

Autore

Chandorkar A. G

Titolo

Research methodology in medical sciences [[electronic resource] /] / A.G. Chandorkar, B.S. Nagoba

Pubbl/distr/stampa

Mumbai [India], : Himalaya Pub. House, 2010

ISBN

1-282-80852-4

9786612808524

1-4416-6201-4

93-5043-191-2

600-00-2813-X

Edizione

[Rev. ed.]

Descrizione fisica

1 online resource (184 p.)

Altri autori (Persone)

NagobaB. S

Disciplina

610.72073

Soggetti

Medical sciences - Research

Electronic books.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

COVER; CONTENTS; Medical Research in the Last Two Decades; Introduction to Research; Basics of Research Methodology; Serendipity in Research; Clinical Trials; Ethics in Medical Research; Statistical Methods for Research; Meta - Analysis; How to Write a Paper?; Dissertation Writing; Dissertation - Is It Only Method to Teach Post-graduates?; Critical Review and Evaluation of Scientific Research Paper; Contribution of Library in Research process; Searching E-Medical Literature and Articles; Spoken Communication; Visual Aids in Spoken Communication

Use of Overhead Projector in Spoken CommunicationFurther Reading

Sommario/riassunto

Research is an integral part for development of knowledge in any field of science, especially in the medial science. The primary objective of this book is to encourage and train the medical practitioner in Philosophy and Principles of Medical research which will help in enhacing their research and communication skills.



2.

Record Nr.

UNINA9910141572603321

Autore

Pourahmadi Mohsen

Titolo

High-dimensional covariance estimation [[electronic resource] /] / Mohsen Pourahmadi

Pubbl/distr/stampa

Hoboken, NJ, : Wiley, c2013

ISBN

1-118-57366-8

1-118-57361-7

1-118-57365-X

Descrizione fisica

1 online resource (208 p.)

Collana

Wiley series in probability and statistics

Classificazione

MAT029020

Disciplina

519.5/38

Soggetti

Analysis of covariance

Multivariate analysis

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

HIGH-DIMENSIONAL COVARIANCE ESTIMATION; CONTENTS; PREFACE; I MOTIVATION AND THE BASICS; 1 INTRODUCTION; 1.1 Least Squares and Regularized Regression; 1.2 Lasso: Survival of the Bigger; 1.3 Thresholding the Sample Covariance Matrix; 1.4 Sparse PCA and Regression; 1.5 Graphical Models: Nodewise Regression; 1.6 Cholesky Decomposition and Regression; 1.7 The Bigger Picture: Latent Factor Models; 1.8 Further Reading; 2 DATA, SPARSITY, AND REGULARIZATION; 2.1 Data Matrix: Examples; 2.2 Shrinking the Sample Covariance Matrix; 2.3 Distribution of the Sample Eigenvalues

2.4 Regularizing Covariances Like a Mean2.5 The Lasso Regression; 2.6 Lasso: Variable Selection and Prediction; 2.7 Lasso: Degrees of Freedom and BIC; 2.8 Some Alternatives to the Lasso Penalty; 3 COVARIANCE MATRICES; 3.1 Definition and Basic Properties; 3.2 The Spectral Decomposition; 3.3 Structured Covariance Matrices; 3.4 Functions of a Covariance Matrix; 3.5 PCA: The Maximum Variance Property; 3.6 Modified Cholesky Decomposition; 3.7 Latent Factor Models; 3.8 GLM for Covariance Matrices; 3.9 GLM via the Cholesky Decomposition; 3.10 GLM for Incomplete Longitudinal Data

3.10.1 The Incoherency Problem in Incomplete Longitudinal Data3.10.2 The Incomplete Data and The EM Algorithm; 3.11 A Data Example: Fruit Fly Mortality Rate; 3.12 Simulating Random Correlation Matrices; 3.13



Bayesian Analysis of Covariance Matrices; II COVARIANCE ESTIMATION: REGULARIZATION; 4 REGULARIZING THE EIGENSTRUCTURE; 4.1 Shrinking the Eigenvalues; 4.2 Regularizing The Eigenvectors; 4.3 A Duality between PCA and SVD; 4.4 Implementing Sparse PCA: A Data Example; 4.5 Sparse Singular Value Decomposition (SSVD); 4.6 Consistency of PCA; 4.7 Principal Subspace Estimation; 4.8 Further Reading

5 SPARSE GAUSSIAN GRAPHICAL MODELS5.1 Covariance Selection Models: Two Examples; 5.2 Regression Interpretation of Entries of Σ-1; 5.3 Penalized Likelihood and Graphical Lasso; 5.4 Penalized Quasi-Likelihood Formulation; 5.5 Penalizing the Cholesky Factor; 5.6 Consistency and Sparsistency; 5.7 Joint Graphical Models; 5.8 Further Reading; 6 BANDING, TAPERING, AND THRESHOLDING; 6.1 Banding the Sample Covariance Matrix; 6.2 Tapering the Sample Covariance Matrix; 6.3 Thresholding the Sample Covariance Matrix; 6.4 Low-Rank Plus Sparse Covariance Matrices; 6.5 Further Reading

7 MULTIVARIATE REGRESSION: ACCOUNTING FOR CORRELATION7.1 Multivariate Regression and LS Estimators; 7.2 Reduced Rank Regressions (RRR); 7.3 Regularized Estimation of B; 7.4 Joint Regularization of (B, Ω); 7.5 Implementing MRCE: Data Examples; 7.5.1 Intraday Electricity Prices; 7.5.2 Predicting Asset Returns; 7.6 Further Reading; BIBLIOGRAPHY; INDEX; WILEY SERIES IN PROBABILITY AND STATISTICS

Sommario/riassunto

"Focusing on methodology and computation more than on theorems and proofs, this book provides computationally feasible and statistically efficient methods for estimating sparse and large covariance matrices of high-dimensional data. Extensive in breadth and scope, it features ample applications to a number of applied areas, including business and economics, computer science, engineering, and financial mathematics; recognizes the important and significant contributions of longitudinal and spatial data; and includes various computer codes in R throughout the text and on an author-maintained web site"--

"The aim of this book is to provide computationally feasible and statistically efficient methods for estimating sparse and large covariance matrices of high-dimensional data"--



3.

Record Nr.

UNIORUON00429134

Titolo

Bibliografia di studi di archeologia, scienze dell'antichità e storia dell'arte / a cura di Sergio Mineo ed Emanuela Zappata

Pubbl/distr/stampa

Roma, : L'Erma di Bretschneider, 1995

Descrizione fisica

526 p. ; 21 cm.

Disciplina

016.9301

Soggetti

Archeologia - Bibliografia

Arte - Storia - Bibliografia

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia