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The Resource A Modern Introduction to Probability and Statistics : Understanding Why and How, by F.M. Dekking, C. Kraaikamp, H.P. Lopuhaä, L.E. Meester, (electronic resource)
A Modern Introduction to Probability and Statistics : Understanding Why and How, by F.M. Dekking, C. Kraaikamp, H.P. Lopuhaä, L.E. Meester, (electronic resource)
Resource Information
The item A Modern Introduction to Probability and Statistics : Understanding Why and How, by F.M. Dekking, C. Kraaikamp, H.P. Lopuhaä, L.E. Meester, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Manitoba Libraries.This item is available to borrow from all library branches.
Resource Information
The item A Modern Introduction to Probability and Statistics : Understanding Why and How, by F.M. Dekking, C. Kraaikamp, H.P. Lopuhaä, L.E. Meester, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Manitoba Libraries.
This item is available to borrow from all library branches.
 Summary
 Probability and Statistics are studied by most science students, usually as a second or thirdyear course. Many current texts in the area are just cookbooks and, as a result, students do not know why they perform the methods they are taught, or why the methods work. The strength of this book is that it readdresses these shortcomings; by using examples, often from reallife and using real data, the authors can show how the fundamentals of probabilistic and statistical theories arise intuitively. It provides a tried and tested, selfcontained course, that can also be used for selfstudy. A Modern Introduction to Probability and Statistics has numerous quick exercises to give direct feedback to the students. In addition the book contains over 350 exercises, half of which have answers, of which half have full solutions. A website at www.springeronline.com/1852338962 gives access to the data files used in the text, and, for instructors, the remaining solutions. The only prerequisite for the book is a first course in calculus; the text covers standard statistics and probability material, and develops beyond traditional parametric models to the Poisson process, and on to useful modern methods such as the bootstrap. This will be a key text for undergraduates in Computer Science, Physics, Mathematics, Chemistry, Biology and Business Studies who are studying a mathematical statistics course, and also for more intensive engineering statistics courses for undergraduates in all engineering subjects
 Language

 eng
 eng
 Edition
 1st ed. 2005.
 Extent
 1 online resource (484 p.)
 Note
 Description based upon print version of record
 Contents

 Why probability and statistics?
 Outcomes, events, and probability
 Conditional probability and independence
 Discrete random variables
 Continuous random variables
 Simulation
 Expectation and variance
 Computations with random variables
 Joint distributions and independence
 Covariance and correlation
 More computations with more random variables
 The Poisson process
 The law of large numbers
 The central limit theorem
 Exploratory data analysis: graphical summaries
 Exploratory data analysis: numerical summaries
 Basic statistical models
 The bootstrap
 Unbiased estimators
 Efficiency and mean squared error
 Maximum likelihood
 The method of least squares
 Confidence intervals for the mean
 More on confidence intervals
 Testing hypotheses: essentials
 Testing hypotheses: elaboration
 The ttest
 Comparing two samples
 Isbn
 9781846281686
 Label
 A Modern Introduction to Probability and Statistics : Understanding Why and How
 Title
 A Modern Introduction to Probability and Statistics
 Title remainder
 Understanding Why and How
 Statement of responsibility
 by F.M. Dekking, C. Kraaikamp, H.P. Lopuhaä, L.E. Meester
 Language

 eng
 eng
 Summary
 Probability and Statistics are studied by most science students, usually as a second or thirdyear course. Many current texts in the area are just cookbooks and, as a result, students do not know why they perform the methods they are taught, or why the methods work. The strength of this book is that it readdresses these shortcomings; by using examples, often from reallife and using real data, the authors can show how the fundamentals of probabilistic and statistical theories arise intuitively. It provides a tried and tested, selfcontained course, that can also be used for selfstudy. A Modern Introduction to Probability and Statistics has numerous quick exercises to give direct feedback to the students. In addition the book contains over 350 exercises, half of which have answers, of which half have full solutions. A website at www.springeronline.com/1852338962 gives access to the data files used in the text, and, for instructors, the remaining solutions. The only prerequisite for the book is a first course in calculus; the text covers standard statistics and probability material, and develops beyond traditional parametric models to the Poisson process, and on to useful modern methods such as the bootstrap. This will be a key text for undergraduates in Computer Science, Physics, Mathematics, Chemistry, Biology and Business Studies who are studying a mathematical statistics course, and also for more intensive engineering statistics courses for undergraduates in all engineering subjects
 http://library.link/vocab/creatorName
 Dekking, F.M
 Dewey number

 519
 519.2
 http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut

 ZS8p39W9Fhk
 xM4IhyktJKc
 1s2sEVEShSI
 08lEQck24Q
 Language note
 English
 LC call number

 QA273.A1274.9
 QA274274.9
 Literary form
 non fiction
 Nature of contents
 dictionaries
 http://library.link/vocab/relatedWorkOrContributorName

 Kraaikamp, C.
 Lopuhaä, H.P.
 Meester, L.E.
 Series statement
 Springer Texts in Statistics,
 http://library.link/vocab/subjectName

 Distribution (Probability theory
 Statistics
 Engineering mathematics
 Probability Theory and Stochastic Processes
 Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
 Mathematical and Computational Engineering
 Label
 A Modern Introduction to Probability and Statistics : Understanding Why and How, by F.M. Dekking, C. Kraaikamp, H.P. Lopuhaä, L.E. Meester, (electronic resource)
 Note
 Description based upon print version of record
 Bibliography note
 Includes bibliographical references (p. [475]476) and index
 Carrier category
 online resource
 Carrier category code

 cr
 Content category
 text
 Content type code

 txt
 Contents
 Why probability and statistics?  Outcomes, events, and probability  Conditional probability and independence  Discrete random variables  Continuous random variables  Simulation  Expectation and variance  Computations with random variables  Joint distributions and independence  Covariance and correlation  More computations with more random variables  The Poisson process  The law of large numbers  The central limit theorem  Exploratory data analysis: graphical summaries  Exploratory data analysis: numerical summaries  Basic statistical models  The bootstrap  Unbiased estimators  Efficiency and mean squared error  Maximum likelihood  The method of least squares  Confidence intervals for the mean  More on confidence intervals  Testing hypotheses: essentials  Testing hypotheses: elaboration  The ttest  Comparing two samples
 Dimensions
 unknown
 Edition
 1st ed. 2005.
 Extent
 1 online resource (484 p.)
 Form of item
 online
 Isbn
 9781846281686
 Media category
 computer
 Media type code

 c
 Other control number
 10.1007/1846281687
 Specific material designation
 remote
 System control number

 (CKB)1000000000229212
 (EBL)303765
 (OCoLC)828802206
 (SSID)ssj0000319024
 (PQKBManifestationID)11279981
 (PQKBTitleCode)TC0000319024
 (PQKBWorkID)10336070
 (PQKB)10365069
 (DEHe213)9781846281686
 (MiAaPQ)EBC303765
 (EXLCZ)991000000000229212
 Label
 A Modern Introduction to Probability and Statistics : Understanding Why and How, by F.M. Dekking, C. Kraaikamp, H.P. Lopuhaä, L.E. Meester, (electronic resource)
 Note
 Description based upon print version of record
 Bibliography note
 Includes bibliographical references (p. [475]476) and index
 Carrier category
 online resource
 Carrier category code

 cr
 Content category
 text
 Content type code

 txt
 Contents
 Why probability and statistics?  Outcomes, events, and probability  Conditional probability and independence  Discrete random variables  Continuous random variables  Simulation  Expectation and variance  Computations with random variables  Joint distributions and independence  Covariance and correlation  More computations with more random variables  The Poisson process  The law of large numbers  The central limit theorem  Exploratory data analysis: graphical summaries  Exploratory data analysis: numerical summaries  Basic statistical models  The bootstrap  Unbiased estimators  Efficiency and mean squared error  Maximum likelihood  The method of least squares  Confidence intervals for the mean  More on confidence intervals  Testing hypotheses: essentials  Testing hypotheses: elaboration  The ttest  Comparing two samples
 Dimensions
 unknown
 Edition
 1st ed. 2005.
 Extent
 1 online resource (484 p.)
 Form of item
 online
 Isbn
 9781846281686
 Media category
 computer
 Media type code

 c
 Other control number
 10.1007/1846281687
 Specific material designation
 remote
 System control number

 (CKB)1000000000229212
 (EBL)303765
 (OCoLC)828802206
 (SSID)ssj0000319024
 (PQKBManifestationID)11279981
 (PQKBTitleCode)TC0000319024
 (PQKBWorkID)10336070
 (PQKB)10365069
 (DEHe213)9781846281686
 (MiAaPQ)EBC303765
 (EXLCZ)991000000000229212
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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.lib.umanitoba.ca/portal/AModernIntroductiontoProbabilityand/4h1Tu6dsDzI/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.lib.umanitoba.ca/portal/AModernIntroductiontoProbabilityand/4h1Tu6dsDzI/">A Modern Introduction to Probability and Statistics : Understanding Why and How, by F.M. Dekking, C. Kraaikamp, H.P. Lopuhaä, L.E. Meester, (electronic resource)</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.lib.umanitoba.ca/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.lib.umanitoba.ca/">University of Manitoba Libraries</a></span></span></span></span></div>