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Published by Cambridge University Press, 2019
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Published by Cambridge University Press, 2019
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Published by Princeton University Press, 2023
ISBN 10: 0691248087 ISBN 13: 9780691248080
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Published by Cambridge University Press, 2019
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Published by Cambridge University Press, 2019
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Published by Cambridge University Press, 2019
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Published by Cambridge University Press, 2019
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Published by Cambridge University Press, 2019
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Published by Princeton University Press, 2006
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Published by Cambridge University Press, Cambridge, 2019
ISBN 10: 1108483402 ISBN 13: 9781108483407
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Hardcover. Condition: new. Hardcover. Interest in nonparametric methodology has grown considerably over the past few decades, stemming in part from vast improvements in computer hardware and the availability of new software that allows practitioners to take full advantage of these numerically intensive methods. This book is written for advanced undergraduate students, intermediate graduate students, and faculty, and provides a complete teaching and learning course at a more accessible level of theoretical rigor than Racine's earlier book co-authored with Qi Li, Nonparametric Econometrics: Theory and Practice (2007). The open source R platform for statistical computing and graphics is used throughout in conjunction with the R package np. Recent developments in reproducible research is emphasized throughout with appendices devoted to helping the reader get up to speed with R, R Markdown, TeX and Git. This book provides theory, open source R implementations, and the latest tools for reproducible nonparametric econometric research. Advanced undergraduate students, graduate students, and faculty wishing to keep abreast of this field will find this resource more accessible than similar books. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Cambridge University Press, GB, 2019
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Add to basketHardback. Condition: New. Interest in nonparametric methodology has grown considerably over the past few decades, stemming in part from vast improvements in computer hardware and the availability of new software that allows practitioners to take full advantage of these numerically intensive methods. This book is written for advanced undergraduate students, intermediate graduate students, and faculty, and provides a complete teaching and learning course at a more accessible level of theoretical rigor than Racine's earlier book co-authored with Qi Li, Nonparametric Econometrics: Theory and Practice (2007). The open source R platform for statistical computing and graphics is used throughout in conjunction with the R package np. Recent developments in reproducible research is emphasized throughout with appendices devoted to helping the reader get up to speed with R, R Markdown, TeX and Git.
Published by Cambridge University Press, 2019
ISBN 10: 1108483402 ISBN 13: 9781108483407
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Published by Cambridge University Press 2019-06-27, 2019
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Published by Princeton University Press, 2023
ISBN 10: 0691248087 ISBN 13: 9780691248080
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Published by Princeton University Press, 2023
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Published by Princeton University Press, 2023
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Published by Cambridge University Press, 2019
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Published by Cambridge University Press, 2019
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Published by Princeton University Press, 2023
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Published by Cambridge University Press, Cambridge, 2019
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Add to basketHardcover. Condition: new. Hardcover. Interest in nonparametric methodology has grown considerably over the past few decades, stemming in part from vast improvements in computer hardware and the availability of new software that allows practitioners to take full advantage of these numerically intensive methods. This book is written for advanced undergraduate students, intermediate graduate students, and faculty, and provides a complete teaching and learning course at a more accessible level of theoretical rigor than Racine's earlier book co-authored with Qi Li, Nonparametric Econometrics: Theory and Practice (2007). The open source R platform for statistical computing and graphics is used throughout in conjunction with the R package np. Recent developments in reproducible research is emphasized throughout with appendices devoted to helping the reader get up to speed with R, R Markdown, TeX and Git. This book provides theory, open source R implementations, and the latest tools for reproducible nonparametric econometric research. Advanced undergraduate students, graduate students, and faculty wishing to keep abreast of this field will find this resource more accessible than similar books. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Princeton University Press, 2023
ISBN 10: 0691248087 ISBN 13: 9780691248080
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Published by Princeton University Press, 2023
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Published by Princeton University Press, 2023
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Published by Princeton University Press, 2023
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Published by Princeton University Press, 2006
ISBN 10: 0691121613 ISBN 13: 9780691121611
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