Data analysis for business, economics, and policy:
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Cambridge ; New York ; Melbourne ; New Delhi ; Singapore
Cambridge University Press
[2021]
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| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | xxiii, 714 Seiten Diagramme |
| ISBN: | 9781108483018 9781108716208 |
Staff View
MARC
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Record in the Search Index
| DE-BY-862_location | 2000 |
|---|---|
| DE-BY-FWS_call_number | 2000/QH 232 B424 |
| DE-BY-FWS_katkey | 928034 |
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| adam_text | BRIEF CONTENTS Why Use This Book Simplified Notation Acknowledgments page xxi xxiv XXV 1 DATA EXPLORATION 1 1 Origins of Data 3 2 Preparing Data for Analysis 30 3 Exploratory Data Analysis 58 4 Comparison and Correlation 5 Generalizing from Data 118 6 Testing Hypotheses 143 II REGRESSION ANALYSIS 169 7 Simple Regression 171 8 Complicated Patterns and Messy Data 200 9 Generalizing Results of a Regression 236 Multiple Linear Regression 266 11 Modeling Probabilities 297 12 Regression with Time Series Data 10 III PREDICTION 13 A Framework for Prediction 14 Model Building for Prediction 96 329 363 365 391 15 Regression Trees 417 16 438 Random Forest and Boosting
Brief Contents 17 Probability Prediction and Classification 18 Forecasting from Time Series Data IV CAUSAL ANALYSIS 457 487 517 19 A Framework for Causal Analysis 519 20 Designing and Analyzing Experiments 555 21 Regression and Matching with Observational Data 588 22 Difference-in-Differences 620 23 649 Methods for Panel Data 24 Appropriate Control Groups for Panel Data References Index 681 704 709
|
| adam_txt |
BRIEF CONTENTS Why Use This Book Simplified Notation Acknowledgments page xxi xxiv XXV 1 DATA EXPLORATION 1 1 Origins of Data 3 2 Preparing Data for Analysis 30 3 Exploratory Data Analysis 58 4 Comparison and Correlation 5 Generalizing from Data 118 6 Testing Hypotheses 143 II REGRESSION ANALYSIS 169 7 Simple Regression 171 8 Complicated Patterns and Messy Data 200 9 Generalizing Results of a Regression 236 Multiple Linear Regression 266 11 Modeling Probabilities 297 12 Regression with Time Series Data 10 III PREDICTION 13 A Framework for Prediction 14 Model Building for Prediction 96 329 363 365 391 15 Regression Trees 417 16 438 Random Forest and Boosting
Brief Contents 17 Probability Prediction and Classification 18 Forecasting from Time Series Data IV CAUSAL ANALYSIS 457 487 517 19 A Framework for Causal Analysis 519 20 Designing and Analyzing Experiments 555 21 Regression and Matching with Observational Data 588 22 Difference-in-Differences 620 23 649 Methods for Panel Data 24 Appropriate Control Groups for Panel Data References Index 681 704 709 |
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| building | Verbundindex |
| bvnumber | BV047294811 |
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| dewey-full | 330.0721 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 330 - Economics |
| dewey-raw | 330.0721 |
| dewey-search | 330.0721 |
| dewey-sort | 3330.0721 |
| dewey-tens | 330 - Economics |
| discipline | Informatik Wirtschaftswissenschaften |
| discipline_str_mv | Informatik Wirtschaftswissenschaften |
| format | Book |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T17:21:24Z |
| indexdate | 2025-02-20T06:44:44Z |
| institution | BVB |
| isbn | 9781108483018 9781108716208 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032698085 |
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| physical | xxiii, 714 Seiten Diagramme |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Cambridge University Press |
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| spellingShingle | Békés, Gábor 1974- Kézdi, Gábor Data analysis for business, economics, and policy Data Mining (DE-588)4428654-5 gnd Datenanalyse (DE-588)4123037-1 gnd |
| subject_GND | (DE-588)4428654-5 (DE-588)4123037-1 |
| title | Data analysis for business, economics, and policy |
| title_auth | Data analysis for business, economics, and policy |
| title_exact_search | Data analysis for business, economics, and policy |
| title_exact_search_txtP | Data analysis for business, economics, and policy |
| title_full | Data analysis for business, economics, and policy Gábor Békés (Central European University, Vienna and Budapest), Gábor Kézdi (University of Michigan, Ann Arbor) |
| title_fullStr | Data analysis for business, economics, and policy Gábor Békés (Central European University, Vienna and Budapest), Gábor Kézdi (University of Michigan, Ann Arbor) |
| title_full_unstemmed | Data analysis for business, economics, and policy Gábor Békés (Central European University, Vienna and Budapest), Gábor Kézdi (University of Michigan, Ann Arbor) |
| title_short | Data analysis for business, economics, and policy |
| title_sort | data analysis for business economics and policy |
| topic | Data Mining (DE-588)4428654-5 gnd Datenanalyse (DE-588)4123037-1 gnd |
| topic_facet | Data Mining Datenanalyse |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032698085&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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Indexes
THWS Schweinfurt Zentralbibliothek Lesesaal
| Call Number: |
2000 QH 232 B424 |
|---|---|
| Copy 1 | ausleihbar Available Place a Hold |