國立高雄大學圖資館 |

Language: English

Back

Statisticsa concise mathematical int...

Scott, David W., (1950-)

Statisticsa concise mathematical introduction for students, scientists, and engineers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	StatisticsDavid W. Scott.
Reminder of title:	a concise mathematical introduction for students, scientists, and engineers /
Author:	Scott, David W.,
Published:	Hoboken, NJ :John Wiley & Sons,2020.
Description:	1 online resource (xiv, 165 p.) :ill.
Subject:	Statistics.
Online resource:	https://onlinelibrary.wiley.com/doi/book/10.1002/9781119675860
ISBN:	9781119675860$q(electronic bk.)

Statisticsa concise mathematical introduction for students, scientists, and engineers /
Scott, David W.,1950-

Statisticsa concise mathematical introduction for students, scientists, and engineers /[electronic resource] :David W. Scott. - 1st ed. - Hoboken, NJ :John Wiley & Sons,2020. - 1 online resource (xiv, 165 p.) :ill.

Includes bibliographical references and index.

"The field of statistics has a rich history that has become tightly integrated into the emerging field of data sciences. Collaboration with computer scientists, numerical analysts, and decision makers characterizes the field. The role of statistics and statisticians is to find actionable information in a noisy collection of data. Every field of academic endeavor encounters this problem: from the electrical engineer trying to find a signal in a noisy channel to an English professor trying to determine the authorship of a contested newly discovered manuscript. There are two basic tasks for the statistician. First is to characterize the distribution of possible outcomes using a batch of representative data. An actuary may be asked to find a dollar loss for car accidents that is not exceeded 99.999% of the time. An economist may be asked to provide useful summaries of a collection of income data. The histogram is our primary tool here, an idea that did not appear until the 17th century; see Graunt (1662)."--

ISBN: 9781119675860$q(electronic bk.)Subjects--Topical Terms:

182057
Statistics.

LC Class. No.: HA29 / .S45 2020eb

Dewey Class. No.: 519.5

Statisticsa concise mathematical introduction for students, scientists, and engineers /
LDR:01904cmm a2200253 a 4500 001 606183
003 OCoLC
005 20201016134031.8
006 m o d
007 cr cnu---unuuu
008 211203s2020 njua ob 001 0 eng d
020 $a 9781119675860$q(electronic bk.)
020 $z 9781119675846
035 $a 1191839007
040 $a DG1 $b eng $c DG1
050 4 $a HA29 $b .S45 2020eb
082 0 4 $a 519.5 $2 23
100 1 $a Scott, David W., $d 1950- $3 240379
245 1 0 $a Statistics $h [electronic resource] : $b a concise mathematical introduction for students, scientists, and engineers / $c David W. Scott.
250 $a 1st ed.
260 $a Hoboken, NJ : $b John Wiley & Sons, $c 2020.
300 $a 1 online resource (xiv, 165 p.) : $b ill.
504 $a Includes bibliographical references and index.
520 $a "The field of statistics has a rich history that has become tightly integrated into the emerging field of data sciences. Collaboration with computer scientists, numerical analysts, and decision makers characterizes the field. The role of statistics and statisticians is to find actionable information in a noisy collection of data. Every field of academic endeavor encounters this problem: from the electrical engineer trying to find a signal in a noisy channel to an English professor trying to determine the authorship of a contested newly discovered manuscript. There are two basic tasks for the statistician. First is to characterize the distribution of possible outcomes using a batch of representative data. An actuary may be asked to find a dollar loss for car accidents that is not exceeded 99.999% of the time. An economist may be asked to provide useful summaries of a collection of income data. The histogram is our primary tool here, an idea that did not appear until the 17th century; see Graunt (1662)."-- $c Provided by publisher
588 $a Description based on print version record.
650 0 $a Statistics. $3 182057
856 4 0 $u https://onlinelibrary.wiley.com/doi/book/10.1002/9781119675860