Treffer: Statistics for Mathematicians a Rigorous First Course

Title:
Statistics for Mathematicians a Rigorous First Course
Authors:
Panaretos, Victor M. author., SpringerLink (Online service)
Publisher Information:
Cham : Springer International Publishing : Imprint : Birkh user, 2016., 2016
Document Type:
Electronic Resource<br />Electronic Resource
Index Terms:
Statistics., Probabilities., Statistical Theory and Methods., Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences., Statistics for Business/Economics/Mathematical Finance/Insurance., Probability Theory and Stochastic Processes., Text
URL:
http://dspace.conacyt.gov.py/xmlui/handle/123456789/16583
http://cicco.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-3-319-28341-8
Availability:
Open access content. Open access content
Other Numbers:
PYCED oai:dspace.conacyt.gov.py:123456789/16583
9783319283418
10.1007/978-3-319-28341-8
978-3-319-28341-8
1154417762
Contributing Source:
From OAIster®, provided by the OCLC Cooperative.
Accession Number:
edsoai.on1154417762
Database:
OAIster

Weitere Informationen

This textbook provides a coherent introduction to the main concepts and methods of one-parameter statistical inference. Intended for students of Mathematics taking their first course in Statistics, the focus is on Statistics for Mathematicians rather than on Mathematical Statistics. The goal is not to focus on the mathematical/theoretical aspects of the subject, but rather to provide an introduction to the subject tailored to the mindset and tastes of Mathematics students, who are sometimes turned off by the informal nature of Statistics courses. This book can be used as the basis for an elementary semester-long first course on Statistics with a firm sense of direction that does not sacrifice rigor. The deeper goal of the text is to attract the attention of promising Mathematics students.