عنوان

Studies in theoretical and applied statistics :

شابک

3319739050

شابک

3319739069

شابک

9783319739052

شابک

9783319739069

شابک اشتباه

9783319739052

عنوان اصلي

Studies in theoretical and applied statistics :

نام عام مواد

[Book]

ساير اطلاعات عنواني

SIS 2016, Salerno, Italy, June 8-10 /

نام نخستين پديدآور

Cira Perna, Monica Pratesi, Anne Ruiz-Gazen, editors.

محل نشرو پخش و غیره

Cham, Switzerland :

نام ناشر، پخش کننده و غيره

Springer,

تاریخ نشرو بخش و غیره

[2018]

تاریخ نشرو بخش و غیره

©2018

نام خاص و کميت اثر

1 online resource

عنوان فروست

Springer proceedings in mathematics & statistics ;

مشخصه جلد

volume 227

متن يادداشت

Intro; Preface; Contents; About the Editors; Advances in Survey Methods and New Sources in Public Statistics; Robustness in Survey Sampling Using the Conditional Bias Approach with R Implementation; 1 Introduction; 2 The Conditional Bias as a Measure of Influence in Survey Sampling; 3 Robust Estimators; 4 Application to Winsorized Estimators; 5 Robust Estimation of Domain Totals; 6 Implementation with the R Language; References; Methodological Perspectives for Surveying Rare and Clustered Population: Towards a Sequentially Adaptive Approach; 1 Introduction and Motivational Example.

متن يادداشت

2 Sampling Strategies2.1 Current Practice in TB Prevalence Surveys; 2.2 Adaptive Cluster Sampling as a Tool for Enhancing Case-Detection Ability; 2.3 List Sequential Sampling as a Tool for Dealing with Logistic Constraints; 3 Some Empirical Evidence; 4 Discussing Promising Perspectives: A First Step Towards an Integrated Strategy; References; 3 Age Management in Italian Companies. Findings from Two INAPP Surveys; Abstract; 1 Introduction; 2 Ageing Workforce in SMEs; 2.1 A Logistic Regression Model; 3 Age Management in Large Companies; 4 Conclusions; References.

متن يادداشت

3 Issues in Linking Big Data4 A Case Study: Linking Internet-Scraped Data of Farmhouse to the Farm Register; 5 Concluding Remarks and Future Work Direction; References; Recent Debates in Statistics and Statistical Algorithms; An Algorithm for Finding Projections with Extreme Kurtosis; 1 Introduction; 2 Initialization; 3 Iteration; 4 Application; References; Maxima Units Search (MUS) Algorithm: Methodology and Applications; 1 Introduction; 2 The Methodology; 3 Simulation Study; 4 Applications; 4.1 Identification of Pivotal Units; 4.2 Tennis Singular Features; 5 Conclusions; References.

متن يادداشت

4 Generating High Quality Administrative Data: New Technologies in a National Statistical Reuse PerspectiveAbstract; 1 Administrative and Statistical Data: A Problematic Convergence; 1.1 The European Vision; 1.2 The National Vision: Opportunities and Concerns; 1.3 Public Administrations; 1.4 IT Services; 2 Current Strategies Toward Network Administrative and Statistical System; 3 The Contribute of New Technologies; 4 Conclusions; References; 5 Exploring Solutions for Linking Big Data in Official Statistics; Abstract; 1 Introduction; 2 Standard Solutions in Official Statistics.

متن يادداشت

DESPOTA: An Algorithm to Detect the Partition in the Extended Hierarchy of a Dendrogram1 Hierarchical Agglomerative Clustering and the Issue of the Cut; 2 DEndrogram Slicing through a PermutatiOn Test Approach; 2.1 The Test Statistic as a Ratio of Two Costs; 2.2 The Permutation Distribution of the Test Statistic Under H0; 2.3 The Algorithm in Action; 3 Evaluating the Detected Partition; 4 Concluding Remarks and Future Avenues; References; The p-value Case, a Review of the Debate: Issues and Plausible Remedies; 1 Introduction; 2 Scientific Discoveries and Statistical Testing.

بدون عنوان

0

بدون عنوان

8

بدون عنوان

8

بدون عنوان

8

بدون عنوان

8

متن يادداشت

This book includes a wide selection of the papers presented at the 48th Scientific Meeting of the Italian Statistical Society (SIS2016), held in Salerno on 8-10 June 2016. Covering a wide variety of topics ranging from modern data sources and survey design issues to measuring sustainable development, it provides a comprehensive overview of the current Italian scientific research in the fields of open data and big data in public administration and official statistics, survey sampling, ordinal and symbolic data, statistical models and methods for network data, time series forecasting, spatial analysis, environmental statistics, economic and financial data analysis, statistics in the education system, and sustainable development. Intended for researchers interested in theoretical and empirical issues, this volume provides interesting starting points for further research.

منبع سفارش / آدرس اشتراک

Springer Nature

شماره انبار

com.springer.onix.9783319739069

شماره استاندارد بين المللي کتاب و موسيقي

9783319739052

موضوع مستند نشده

Statistics, Congresses.

موضوع مستند نشده

Mathematical & statistical software.

موضوع مستند نشده

MATHEMATICS-- Applied.

موضوع مستند نشده

MATHEMATICS-- Probability & Statistics-- General.

موضوع مستند نشده

Probability & statistics.

موضوع مستند نشده

Social research & statistics.

موضوع مستند نشده

Statistics.

موضوع مستند نشده

MAT-- 003000

موضوع مستند نشده

MAT-- 029000

موضوع مستند نشده

PBT

شماره

ويراست

شماره رده

مستند نام اشخاص تاييد نشده

Perna, Cira

مستند نام اشخاص تاييد نشده

Pratesi, Monica

مستند نام اشخاص تاييد نشده

Ruiz-Gazen, Anne

مستند نام تنالگان تاييد نشده

Società italiana di statistica., Riunione scientifica(2016 :, Salerno, Italy)

تاريخ عمليات

20200823104536.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y