Cantitate/Preț
Produs
Total produse
Vezi coșul
Adaptive Sampling Designs: Inference for Sparse and Clustered Populations de George A. F. Seber

Adaptive Sampling Designs: Inference for Sparse and Clustered Populations: SpringerBriefs in Statistics

Autor George A. F. Seber, Mohammad M. Salehi
en Limba Engleză Paperback – 23 oct 2012
This book aims to provide an overview of some adaptive techniques used in estimating parameters for finite populations where the sampling at any stage depends on the sampling information obtained to date. The sample adapts to new information as it comes in. These methods are especially used for sparse and clustered populations.
Written by two acknowledged experts in the field of adaptive sampling.


Citește tot Restrânge

Din seria SpringerBriefs in Statistics

  • Asymmetric Kernel Smoothing: Theory and Applications in Economics and Finance
    Preț: 37834 lei
  • 15% Statistics, New Empiricism and Society in the Era of Big Data
    Preț: 45993 lei
  • 17% A Tiny Handbook of R
    Preț: 35975 lei
  • Separating Information Maximum Likelihood Method for High-Frequency Financial Data
    Preț: 41154 lei
  • Partitions, Hypergeometric Systems, and Dirichlet Processes in Statistics
    Preț: 44588 lei
  • Shrinkage Estimation for Mean and Covariance Matrices
    Preț: 44533 lei
  • Renewal Processes
    Preț: 37871 lei
  • Long-Range Dependence and Sea Level Forecasting
    Preț: 37523 lei
  • Time Series Modeling for Analysis and Control: Advanced Autopilot and Monitoring Systems
    Preț: 37871 lei
  • Algebraic and Computational Aspects of Real Tensor Ranks
    Preț: 35050 lei
  • A Concise Guide to Statistics
    Preț: 37854 lei
  • Lévy Processes and Their Applications in Reliability and Storage
    Preț: 37871 lei
  • 15% Sample Size Determination in Clinical Trials with Multiple Endpoints
    Preț: 46173 lei
  • Movie Analytics: A Hollywood Introduction to Big Data
    Preț: 35228 lei
  • Generalized Weibull Distributions
    Preț: 37854 lei
  • Indexation and Causation of Financial Markets
    Preț: 37773 lei
  • 5% Machine Learning in Medicine - Cookbook Three
    Preț: 36070 lei
  • Modern Methodology and Applications in Spatial-Temporal Modeling
    Preț: 35142 lei
  • Statistical Decision Theory
    Preț: 37892 lei
  • Statistical Methods for Imbalanced Data in Ecological and Biological Studies
    Preț: 37507 lei
  • Permutation Testing for Isotonic Inference on Association Studies in Genetics
    Preț: 34274 lei
  • Brief Guidelines for Methods and Statistics in Medical Research
    Preț: 44435 lei
  • Introduction to Data Analysis and Graphical Presentation in Biostatistics with R: Statistics in the Large
    Preț: 41442 lei
  • 15% Bayesians Versus Frequentists: A Philosophical Debate on Statistical Reasoning
    Preț: 46270 lei
  • Penalty, Shrinkage and Pretest Strategies: Variable Selection and Estimation
    Preț: 37854 lei
  • The Borel-Cantelli Lemma
    Preț: 37812 lei
  • The Naïve Bayes Model for Unsupervised Word Sense Disambiguation: Aspects Concerning Feature Selection
    Preț: 27146 lei
  • Statistical Approaches to Orofacial Pain and Temporomandibular Disorders Research
    Preț: 34771 lei
  • Optimal Experimental Design for Non-Linear Models: Theory and Applications
    Preț: 37773 lei
  • Statistical Models for Proportions and Probabilities
    Preț: 27074 lei
  • Statistical Inference for Financial Engineering
    Preț: 37854 lei
  • 5% SPSS for Starters, Part 2
    Preț: 32704 lei
  • Optimal Stochastic Control Schemes within a Structural Reliability Framework
    Preț: 37718 lei
  • Statistical Inference for Discrete Time Stochastic Processes
    Preț: 27340 lei
  • Interactive LISREL in Practice: Getting Started with a SIMPLIS Approach
    Preț: 37718 lei
  • Theoretical Aspects of Spatial-Temporal Modeling
    Preț: 37930 lei
  • Unobserved Variables: Models and Misunderstandings
    Preț: 37659 lei
  • Applied Matrix and Tensor Variate Data Analysis
    Preț: 37968 lei
  • Student’s t-Distribution and Related Stochastic Processes
    Preț: 27204 lei
  • Handling Missing Data in Ranked Set Sampling
    Preț: 37854 lei
  • Formulas Useful for Linear Regression Analysis and Related Matrix Theory: It's Only Formulas But We Like Them
    Preț: 37909 lei
  • Dose-Finding Designs for Early-Phase Cancer Clinical Trials: A Brief Guidebook to Theory and Practice
    Preț: 44626 lei
  • Statistical Causal Discovery: LiNGAM Approach
    Preț: 34414 lei
  • Software Reliability Modeling: Fundamentals and Applications
    Preț: 34872 lei
  • An Introduction to Bartlett Correction and Bias Reduction
    Preț: 37795 lei
  • A Multiple-Testing Approach to the Multivariate Behrens-Fisher Problem: with Simulations and Examples in SAS®
    Preț: 26971 lei
  • 5% Machine Learning in Medicine - Cookbook Two
    Preț: 36106 lei
  • Generalized Hyperbolic Secant Distributions: With Applications to Finance
    Preț: 37584 lei
  • Nonlinear Principal Component Analysis and Its Applications
    Preț: 44262 lei

Preț: 37584 lei

Nou

Puncte Express: 564
Preț estimativ în valută:
7193€ • 7481$ • 5938£

Carte tipărită la comandă

Livrare economică 14-28 aprilie

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783642336560
ISBN-10: 3642336566
Pagini: 80
Ilustrații: IX, 70 p.
Dimensiuni: 155 x 235 x 4 mm
Greutate: 0.13 kg
Ediția:2013
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria SpringerBriefs in Statistics

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

​Basic Ideas.- Adaptive Cluster Sampling.- Rao-Blackwell Modi.- Primary and Secondary Units.- Inverse Sampling Methods.- Adaptive Allocation.

Recenzii

From the book reviews:
“The book is suitable for a reader interested in adaptive sampling designs and estimators based on thorough mathematical theory.” (Adriana Horníková, Technometrics, Vol. 56 (2), May, 2014)

Notă biografică

George Seber is an Emeritus Professor of Statistics at Auckland University, New Zealand. He is an elected Fellow of the Royal Society of New Zealand and  recipient of their Hector medal in Science. He has authored or coauthored 13 books and 77 research articles on a wide variety of topics including linear and nonlinear models, multivariate analysis, adaptive sampling, genetics, epidemiology, and statistical ecology.
Mohammad Salehi is a Professor of Statistics at Isfahan University of Technology, Iran. Currently, he is also a Professor of Statistics and Director of the Statistical Consulting Unit at Qatar University, Qatar, and has published extensively in the field of adaptive sampling.

Textul de pe ultima copertă

This book aims to provide an overview of some adaptive techniques used in estimating parameters for finite populations where the sampling at any stage depends on the sampling information obtained to date. The sample adapts to new information as it comes in. These methods are especially used for sparse and clustered populations.
Written by two acknowledged experts in the field of adaptive sampling.


Caracteristici

Brief, but presents the methods’ salient features Surveys the field, cross-linking it to other research Useful for those interested in conducting research in the field