kirchner antje (29 risultati)

paperback. Condizione: Gut. 420 Seiten; B2102-14 3442358981 Sprache: Deutsch Gewicht in Gramm: 1.

Condizione: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Condizione: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

Taschenbuch. Condizione: Sehr gut. 373 S. B3327-128 Sprache: Deutsch.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Hardcover. Condizione: new. Hardcover. Offers a clear view of the utility and place for survey data within the broader Big Data ecosystem This book presents a collection of snapshots from two sides of the Big Data perspective. It assembles an array of tangible tools, methods, and approaches that illustrate how Big Data sources and methods are being used in the survey and social sciences to improve official statistics and estimates for human populations. It also provides examples of how survey data are being used to evaluate and improve the quality of insights derived from Big Data. Big Data Meets Survey Science: A Collection of Innovative Methods shows how survey data and Big Data are used together for the benefit of one or more sources of data, with numerous chapters providing consistent illustrations and examples of survey data enriching the evaluation of Big Data sources. Examples of how machine learning, data mining, and other data science techniques are inserted into virtually every stage of the survey lifecycle are presented. Topics covered include: Total Error Frameworks for Found Data; Performance and Sensitivities of Home Detection on Mobile Phone Data; Assessing Community Wellbeing Using Google Street View and Satellite Imagery; Using Surveys to Build and Assess RBS Religious Flag; and more. Presents groundbreaking survey methods being utilized today in the field of Big DataExplores how machine learning methods can be applied to the design, collection, and analysis of social science dataFilled with examples and illustrations that show how survey data benefits Big Data evaluationCovers methods and applications used in combining Big Data with survey statisticsExamines regulations as well as ethical and privacy issues Big Data Meets Survey Science: A Collection of Innovative Methods is an excellent book for both the survey and social science communities as they learn to capitalize on this new revolution. It will also appeal to the broader data and computer science communities looking for new areas of application for emerging methods and data sources. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New. In.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. Brand new! Please provide a physical shipping address.

Condizione: New.

Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.

Condizione: New. 2020. 1st Edition. Hardcover. . . . . .

Condizione: New.

Hardcover. Condizione: new. Hardcover. Offers a clear view of the utility and place for survey data within the broader Big Data ecosystem This book presents a collection of snapshots from two sides of the Big Data perspective. It assembles an array of tangible tools, methods, and approaches that illustrate how Big Data sources and methods are being used in the survey and social sciences to improve official statistics and estimates for human populations. It also provides examples of how survey data are being used to evaluate and improve the quality of insights derived from Big Data. Big Data Meets Survey Science: A Collection of Innovative Methods shows how survey data and Big Data are used together for the benefit of one or more sources of data, with numerous chapters providing consistent illustrations and examples of survey data enriching the evaluation of Big Data sources. Examples of how machine learning, data mining, and other data science techniques are inserted into virtually every stage of the survey lifecycle are presented. Topics covered include: Total Error Frameworks for Found Data; Performance and Sensitivities of Home Detection on Mobile Phone Data; Assessing Community Wellbeing Using Google Street View and Satellite Imagery; Using Surveys to Build and Assess RBS Religious Flag; and more. Presents groundbreaking survey methods being utilized today in the field of Big DataExplores how machine learning methods can be applied to the design, collection, and analysis of social science dataFilled with examples and illustrations that show how survey data benefits Big Data evaluationCovers methods and applications used in combining Big Data with survey statisticsExamines regulations as well as ethical and privacy issues Big Data Meets Survey Science: A Collection of Innovative Methods is an excellent book for both the survey and social science communities as they learn to capitalize on this new revolution. It will also appeal to the broader data and computer science communities looking for new areas of application for emerging methods and data sources. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condizione: New. Craig A. Hill, PhD, is Senior Vice President at RTI International and focuses on application of new technology to quantitative social science research. He is also the lead editor of Social Media, Sociality, and Survey Research (Wiley, 2013).Paul P. Biemer, .

Condizione: New. 2020. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.

Hardcover. Condizione: Brand New. 608 pages. 9.00x6.25x1.25 inches. In Stock.

Hardcover. Condizione: new. Hardcover. Offers a clear view of the utility and place for survey data within the broader Big Data ecosystem This book presents a collection of snapshots from two sides of the Big Data perspective. It assembles an array of tangible tools, methods, and approaches that illustrate how Big Data sources and methods are being used in the survey and social sciences to improve official statistics and estimates for human populations. It also provides examples of how survey data are being used to evaluate and improve the quality of insights derived from Big Data. Big Data Meets Survey Science: A Collection of Innovative Methods shows how survey data and Big Data are used together for the benefit of one or more sources of data, with numerous chapters providing consistent illustrations and examples of survey data enriching the evaluation of Big Data sources. Examples of how machine learning, data mining, and other data science techniques are inserted into virtually every stage of the survey lifecycle are presented. Topics covered include: Total Error Frameworks for Found Data; Performance and Sensitivities of Home Detection on Mobile Phone Data; Assessing Community Wellbeing Using Google Street View and Satellite Imagery; Using Surveys to Build and Assess RBS Religious Flag; and more. Presents groundbreaking survey methods being utilized today in the field of Big DataExplores how machine learning methods can be applied to the design, collection, and analysis of social science dataFilled with examples and illustrations that show how survey data benefits Big Data evaluationCovers methods and applications used in combining Big Data with survey statisticsExamines regulations as well as ethical and privacy issues Big Data Meets Survey Science: A Collection of Innovative Methods is an excellent book for both the survey and social science communities as they learn to capitalize on this new revolution. It will also appeal to the broader data and computer science communities looking for new areas of application for emerging methods and data sources. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Buch. Condizione: Neu. Neuware - Offers a clear view of the utility and place for survey data within the broader Big Data ecosystemThis book presents a collection of snapshots from two sides of the Big Data perspective. It assembles an array of tangible tools, methods, and approaches that illustrate how Big Data sources and methods are being used in the survey and social sciences to improve official statistics and estimates for human populations. It also provides examples of how survey data are being used to evaluate and improve the quality of insights derived from Big Data.Big Data Meets Survey Science: A Collection of Innovative Methods shows how survey data and Big Data are used together for the benefit of one or more sources of data, with numerous chapters providing consistent illustrations and examples of survey data enriching the evaluation of Big Data sources. Examples of how machine learning, data mining, and other data science techniques are inserted into virtually every stage of the survey lifecycle are presented. Topics covered include: Total Error Frameworks for Found Data; Performance and Sensitivities of Home Detection on Mobile Phone Data; Assessing Community Wellbeing Using Google Street View and Satellite Imagery; Using Surveys to Build and Assess RBS Religious Flag; and more.\* Presents groundbreaking survey methods being utilized today in the field of Big Data\* Explores how machine learning methods can be applied to the design, collection, and analysis of social science data\* Filled with examples and illustrations that show how survey data benefits Big Data evaluation\* Covers methods and applications used in combining Big Data with survey statistics\* Examines regulations as well as ethical and privacy issuesBig Data Meets Survey Science: A Collection of Innovative Methods is an excellent book for both the survey and social science communities as they learn to capitalize on this new revolution. It will also appeal to the broader data and computer science communities looking for new areas of application for emerging methods and data sources.

Softcover. Condizione: Sehr gut. Zehn Jahre haben sich die beiden indischen Schwestern nicht mehr gesehen. Sie kehren nach Darjeeling zurück, wo alte Familienbande wieder aufbrechen. Zustand: Einband mit geringfügigen Gebrauchsspuren, insgesamt SEHR GUTER Zustand! Stichworte: Genres: Romanze, Familie, Kultur; Schlagworte: Indien, Familie, Schwestern, Teeplantagen, Rückkehr, Heimat, Kultur, Tradition, Erinnerung, Zerwürfnisse. 123 Seiten Deutsch 377g.

Softcover. Condizione: Sehr gut. Zwei Schwestern kehren nach Jahren auf eine Teeplantage in Darjeeling zurück, um ihre Familie und alte Konflikte aufleben zu lassen. Zustand: Einband mit geringfügigen Gebrauchsspuren, insgesamt SEHR GUTER Zustand! Stichworte: Genres: Romanze, Drama, Familiengeschichte; Schlagworte: Indien, Familie, Frauenschicksale, Liebe, Teeplantagen, Schwestern, Kultur, Heimkehr, Familiendrama, Vergangenheit. 123 Seiten Deutsch 372g.

HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 1029.

Hardcover. Condizione: Brand New. 608 pages. 9.00x6.25x1.25 inches. In Stock. This item is printed on demand.