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

回首頁

切換: 標籤 | MARC模式 | ISBD

Exercise book of statistical inference

Gasperoni, Francesca.

FindBook

Google Book

Amazon

博客來

Exercise book of statistical inference

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Exercise book of statistical inference/ by Francesca Gasperoni, Francesca Ieva, Anna Maria Paganoni.
作者:	Gasperoni, Francesca.
其他作者:	Ieva, Francesca.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xi, 293 p. :ill. (some col.), digital ;24 cm.
內容註:	Part I: Statistical Inference -- 1 Fundamentals of Probability and Statistics -- 2 Sufficient, Minimal, and Complete Statistics -- 3 Point Estimators -- 4 Uniform Minimum Variance Unbiased Estimators (UMVUEs) -- 5 Likelihood Ratio Test -- 6 Uniformly Most Powerful Test -- 7 Confidence Intervals -- 8 Asymptotic Statistics -- Part II: Regression Models and Analysis of Variance -- 9 Linear Regression -- 10 Generalized Linear Models -- 11 ANOVA: Analysis of Variance -- 12 Summary Exercises -- Appendix A: Probability Distributions.
Contained By:	Springer Nature eBook
標題:	Mathematical statistics - Problems, exercises, etc. -
電子資源:	https://doi.org/10.1007/978-3-031-86670-8
ISBN:	9783031866708

Exercise book of statistical inference
Gasperoni, Francesca.

Exercise book of statistical inference[electronic resource] /by Francesca Gasperoni, Francesca Ieva, Anna Maria Paganoni. - Cham :Springer Nature Switzerland :2025. - xi, 293 p. :ill. (some col.), digital ;24 cm. - UNITEXT. La matematica per il 3+2,v. 1732038-5757 ;. - UNITEXT.La matematica per il 3+2 ;v. 173..

Part I: Statistical Inference -- 1 Fundamentals of Probability and Statistics -- 2 Sufficient, Minimal, and Complete Statistics -- 3 Point Estimators -- 4 Uniform Minimum Variance Unbiased Estimators (UMVUEs) -- 5 Likelihood Ratio Test -- 6 Uniformly Most Powerful Test -- 7 Confidence Intervals -- 8 Asymptotic Statistics -- Part II: Regression Models and Analysis of Variance -- 9 Linear Regression -- 10 Generalized Linear Models -- 11 ANOVA: Analysis of Variance -- 12 Summary Exercises -- Appendix A: Probability Distributions.

This book was created with the goal of helping students transition from the theoretical and methodological concepts of statistical inference to their implementation on a computer. The first part of the book is primarily focused on exercises to be solved with pen and paper, so that students can apply knowledge derived from lemmas and theorems; while the second part consists of labs, which involve both the manual implementation of algorithms and the learning of built-in tools for efficient analysis of datasets derived from real-world problems. To optimize the understanding of the topics developed and to guide the reader through their studies, the book is organized into chapters, each of which includes an introductory section that reviews the theoretical foundations of statistical inference, followed by a second part with exercises, each accompanied by a comprehensive solution on paper and, when appropriate, using software. This book is aimed at undergraduate students in Statistics, Mathematics, Engineering, and for graduate-level courses in Data Science.

ISBN: 9783031866708

Standard No.: 10.1007/978-3-031-86670-8doiSubjects--Topical Terms:

604071
Mathematical statistics
--Problems, exercises, etc.

LC Class. No.: QA276

Dewey Class. No.: 519.5

Exercise book of statistical inference
LDR:02747nmm a2200349 a 4500 001 2410437
003 DE-He213
005 20250522130306.0
006 m d
007 cr nn 008maaau
008 260204s2025 sz s 0 eng d
020 $a 9783031866708 $q (electronic bk.)
020 $a 9783031866692 $q (paper)
024 7 $a 10.1007/978-3-031-86670-8 $2 doi
035 $a 978-3-031-86670-8
040 $a GP $c GP
041 1 $a eng $h ita
050 4 $a QA276
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PBT $2 thema
082 0 4 $a 519.5 $2 23
090 $a QA276 $b .G249 2025
100 1 $a Gasperoni, Francesca. $3 3784314
240 1 0 $a Eserciziario di Statistica Inferenziale. $l English
245 1 0 $a Exercise book of statistical inference $h [electronic resource] / $c by Francesca Gasperoni, Francesca Ieva, Anna Maria Paganoni.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xi, 293 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a UNITEXT. La matematica per il 3+2, $x 2038-5757 ; $v v. 173
505 0 $a Part I: Statistical Inference -- 1 Fundamentals of Probability and Statistics -- 2 Sufficient, Minimal, and Complete Statistics -- 3 Point Estimators -- 4 Uniform Minimum Variance Unbiased Estimators (UMVUEs) -- 5 Likelihood Ratio Test -- 6 Uniformly Most Powerful Test -- 7 Confidence Intervals -- 8 Asymptotic Statistics -- Part II: Regression Models and Analysis of Variance -- 9 Linear Regression -- 10 Generalized Linear Models -- 11 ANOVA: Analysis of Variance -- 12 Summary Exercises -- Appendix A: Probability Distributions.
520 $a This book was created with the goal of helping students transition from the theoretical and methodological concepts of statistical inference to their implementation on a computer. The first part of the book is primarily focused on exercises to be solved with pen and paper, so that students can apply knowledge derived from lemmas and theorems; while the second part consists of labs, which involve both the manual implementation of algorithms and the learning of built-in tools for efficient analysis of datasets derived from real-world problems. To optimize the understanding of the topics developed and to guide the reader through their studies, the book is organized into chapters, each of which includes an introductory section that reviews the theoretical foundations of statistical inference, followed by a second part with exercises, each accompanied by a comprehensive solution on paper and, when appropriate, using software. This book is aimed at undergraduate students in Statistics, Mathematics, Engineering, and for graduate-level courses in Data Science.
650 0 $a Mathematical statistics $x Problems, exercises, etc. $3 604071
650 1 4 $a Statistical Theory and Methods. $3 891074
650 2 4 $a Probability Theory. $3 3538789
650 2 4 $a Mathematics. $3 515831
700 1 $a Ieva, Francesca. $3 2057149
700 1 $a Paganoni, Anna Maria. $3 2132162
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a UNITEXT. $p La matematica per il 3+2 ; $v v. 173. $3 3784315
856 4 0 $u https://doi.org/10.1007/978-3-031-86670-8
950 $a Mathematics and Statistics (SpringerNature-11649)