國立高雄大學圖資館 |

Language: English

Back

Advanced modeling and data challenges

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advanced modeling and data challengesby Mike Nguyen.
Author:	Nguyen, Mike.
Published:	Cham :Springer Nature Switzerland :2025.
Description:	xiii, 449 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Quantitative research.
Online resource:	https://doi.org/10.1007/978-3-032-01719-2
ISBN:	9783032017192$q(electronic bk.)

Advanced modeling and data challenges
Nguyen, Mike.

Advanced modeling and data challenges[electronic resource] /by Mike Nguyen. - Cham :Springer Nature Switzerland :2025. - xiii, 449 p. :ill., digital ;24 cm.

This volume addresses the complexities of real-world data analysis, offering clear guidance through common challenges such as missing data, model specification, variable selection, and hypothesis testing. It also introduces tools for deeper interpretation-including marginal effects, interaction (moderation), and mediation analysis-to help uncover nuanced relationships in data. Ideal for both learners deepening their understanding and practitioners refining their techniques, this volume blends statistical theory with applied insight. Readers are equipped to navigate ambiguity, confront data imperfections, and extract actionable meaning. With practical examples and an emphasis on analytical reasoning, this book supports coursework, exam review, and professional development alike-making it an essential resource for building confidence in modern data analysis.

ISBN: 9783032017192$q(electronic bk.)

Standard No.: 10.1007/978-3-032-01719-2doiSubjects--Topical Terms:

367894
Quantitative research.

LC Class. No.: QA76.9.Q36

Dewey Class. No.: 001.42

Advanced modeling and data challenges
LDR:01810nmm a2200313 a 4500 001 690492
003 DE-He213
005 20251103120414.0
006 m d
007 cr nn 008maaau
008 260409s2025 sz s 0 eng d
020 $a 9783032017192$q(electronic bk.)
020 $a 9783032017185$q(paper)
024 7 $a 10.1007/978-3-032-01719-2 $2 doi
035 $a 978-3-032-01719-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.Q36
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PBT $2 thema
082 0 4 $a 001.42 $2 23
090 $a QA76.9.Q36 $b N576 2025
100 1 $a Nguyen, Mike. $3 1004039
245 1 0 $a Advanced modeling and data challenges $h [electronic resource] / $c by Mike Nguyen.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xiii, 449 p. : $b ill., digital ; $c 24 cm.
520 $a This volume addresses the complexities of real-world data analysis, offering clear guidance through common challenges such as missing data, model specification, variable selection, and hypothesis testing. It also introduces tools for deeper interpretation-including marginal effects, interaction (moderation), and mediation analysis-to help uncover nuanced relationships in data. Ideal for both learners deepening their understanding and practitioners refining their techniques, this volume blends statistical theory with applied insight. Readers are equipped to navigate ambiguity, confront data imperfections, and extract actionable meaning. With practical examples and an emphasis on analytical reasoning, this book supports coursework, exam review, and professional development alike-making it an essential resource for building confidence in modern data analysis.
650 0 $a Quantitative research. $3 367894
650 0 $a Mathematical models. $3 182479
650 1 4 $a Methodology of Data Collection and Processing. $3 921586
650 2 4 $a Linear Models and Regression. $3 913351
650 2 4 $a Parametric Inference. $3 913353
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-032-01719-2
950 $a Mathematics and Statistics (SpringerNature-11649)

based on 0 review(s)

Multimedia

Multimedia file
https://doi.org/10.1007/978-3-032-01719-2

Reviews

Add a review and share your thoughts with other readers

Export

pickup library