東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回上頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

Advanced modeling and data challenges

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advanced modeling and data challenges/ by Mike Nguyen.
作者:	Nguyen, Mike.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xiii, 449 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Quantitative research. -
電子資源:	https://doi.org/10.1007/978-3-032-01719-2
ISBN:	9783032017192

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

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

919734
Quantitative research.

LC Class. No.: QA76.9.Q36

Dewey Class. No.: 001.42

Advanced modeling and data challenges
LDR:01809nmm a2200313 a 4500 001 2421842
003 DE-He213
005 20251103120414.0
006 m d
007 cr nn 008maaau
008 260505s2025 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 3791985
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 919734
650 0 $a Mathematical models. $3 522882
650 1 4 $a Methodology of Data Collection and Processing. $3 3598081
650 2 4 $a Linear Models and Regression. $3 3538765
650 2 4 $a Parametric Inference. $3 3538767
710 2 $a SpringerLink (Online service) $3 836513
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)