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Catalogue Information
Field name
Details
Dewey Class
519.5
Title
Statistical Consulting ([EBook] /) / by Javier Cabrera, Andrew McDougall.
Author
Cabrera, Javier
Added Personal Name
McDougall, Andrew
author.
Other name(s)
SpringerLink (Online service)
Publication
New York, NY : : Springer New York : : Imprint: Springer, , 2002.
Physical Details
XII, 390 p. : online resource.
ISBN
9781475736632
Summary Note
The motivation for this book arose from the statistical consulting course that we have taught regularly for several years. In that course, we focus on the themes: • Understanding the statistical consulting "process" • Developing effective communication skills • Obtaining experience through case studies. In reality, there is no substitute for consulting directly with a client and for this interaction to be effective, good communication skills are essential. Unfortunately, this aspect of a statistician's training is often neglected and statistics graduates have little choice but to learn these skills on the job. One of the purposes of this book is to address this need. Statistical consulting occurs in a diverse range of environments and for tackling real-life statistical problems, the statistician needs to have a strong interest in the scientific method. History itself provides the best examples for developing this interest and so we begin with a brief historical voyage in Chapter 1. There's no time like the present, of course, and in the remainder of this chapter we describe some of the environments in which statistical consulting plays a major role. A detailed discussion on verbal and written communication skills that will be required in a consulting environment is presented in Chapter 2.:
Contents note
I The Methodology of Statistical Consulting -- 1 Introduction to Statistical Consulting -- 2 Communication -- 3 Methodological Aspects -- 4 A Consulting Project from A to Z -- II Case Studies -- 5 Introduction to the Case Studies -- 6 Case Studies from Group I -- 7 Case Studies from Group II -- 8 Case Studies from Group III -- 9 Additional Case Studies -- A Resources -- A.1 References -- A.2 Datasets for Case Studies in Part II -- A.3 Statistical Consulting Course -- A.3.1 Course Description -- A.3.2 List of Topics by Week -- A.3.3 Reference List -- B Statistical Software -- B.1 SAS -- B.1.1 The SAS Setup -- B.1.2 Details on the DATA Step -- B.1.3 SAS Procedures -- B.1.4 Further Details of SAS -- B.2 S-PLUS -- B.2.1 S-PLUS Preliminaries -- B.2.2 The S-PLUS Setup -- B.2.3 Basic S-PLUS Commands -- B.2.4 Efficient Use of S-PLUS -- B.2.5 S-PLUS Statistical Procedures -- B.2.6 S-PLUS Glossary -- C Statistical Addendum -- C.1 Univariate Distributions -- C.2 Multivariate Distributions -- C.3 Statistical Tests -- C.4 Sample Size -- References.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site
http://dx.doi.org/10.1007/978-1-4757-3663-2
Links to Related Works
Subject References:
Statistical Theory and Methods
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Statistics
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Statistics for Business/Economics/Mathematical Finance/Insurance
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Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
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Statistics for Life Sciences, Medicine, Health Sciences
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Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
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Authors:
Cabrera, Javier
.
McDougall, Andrew
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Corporate Authors:
SpringerLink (Online service)
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Classification:
519.5
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