MARC details
| 000 -LEADER |
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| fixed length control field |
02480cam a22003015i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
41276 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
0000000000 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20240307090420.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
160325s2016 nyu s 000 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
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| LC control number |
2016936960 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9789811008887 |
| 035 ## - SYSTEM CONTROL NUMBER |
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| System control number |
19029914 |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
DLC |
| Language of cataloging |
eng |
| Transcribing agency |
DLC |
| Description conventions |
rda |
| Modifying agency |
DLC |
| 042 ## - AUTHENTICATION CODE |
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| Authentication code |
pcc |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Dixit, Ulhas Jayram. |
| 245 00 - TITLE STATEMENT |
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| Title |
Examples in parametric inference with R. / |
| Statement of responsibility, etc. |
Ulhas Jayram Dixit. |
| 263 ## - PROJECTED PUBLICATION DATE |
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| Projected publication date |
1605 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
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| Place of production, publication, distribution, manufacture |
Singapore : |
| Name of producer, publisher, distributor, manufacturer |
Springer, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2016. |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
pages cm. |
| 336 ## - CONTENT TYPE |
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| Content type term |
text |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
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| Media type term |
computer |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
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| Carrier type term |
online resource |
| Source |
rdacarrier |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
This book discusses examples in parametric inference with R. Combining basic theory with modern approaches, it presents the latest developments and trends in statistical inference for students who do not have an advanced mathematical and statistical background. The topics discussed in the book are fundamental and common to many fields of statistical inference and thus serve as a point of departure for in-depth study. The book is divided into eight chapters: Chapter 1 provides an overview of topics on sufficiency and completeness, while Chapter 2 briefly discusses unbiased estimation. Chapter 3 focuses on the study of moments and maximum likelihood estimators, and Chapter 4 presents bounds for the variance. In Chapter 5, topics on consistent estimator are discussed. Chapter 6 discusses Bayes, while Chapter 7 studies some more powerful tests. Lastly, Chapter 8 examines unbiased and other tests. Senior undergraduate and graduate students in statistics and mathematics, and those who have taken an introductory course in probability, will greatly benefit from this book. Students are expected to know matrix algebra, calculus, probability and distribution theory before beginning this course. Presenting a wealth of relevant solved and unsolved problems, the book offers an excellent tool for teachers and instructors who can assign homework problems from the exercises, and students will find the solved examples hugely beneficial in solving the exercise problems. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Mathematical statistics. |
| Source of heading or term |
sears |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
R (Computer program language) |
| Source of heading or term |
sears |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
<a href="https://drive.google.com/file/d/1YDCV38NuUJkNcDnZGjoDG8_p3pnJ1QQE/view?usp=sharing">https://drive.google.com/file/d/1YDCV38NuUJkNcDnZGjoDG8_p3pnJ1QQE/view?usp=sharing</a> |
