語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Statistical inference in financial a...
~
Brouste, Alexandre,
FindBook
Google Book
Amazon
博客來
Statistical inference in financial and insurance mathematics with R /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Statistical inference in financial and insurance mathematics with R // Alexandre Brouste.
作者:
Brouste, Alexandre,
面頁冊數:
1 online resource
標題:
Finance - Mathematical models. -
電子資源:
https://www.sciencedirect.com/science/book/9781785480836
ISBN:
9780081012611
Statistical inference in financial and insurance mathematics with R /
Brouste, Alexandre,
Statistical inference in financial and insurance mathematics with R /
Alexandre Brouste. - 1 online resource - Optimization in insurance and finance set. - Optimization in insurance and finance set..
Includes bibliographical references and index.
Finance and insurance companies are facing a wide range of parametric statistical problems. Statistical experiments generated by a sample of independent and identically distributed random variables are frequent and well understood, especially those consisting of probability measures of an exponential type. However, the aforementioned applications also offer non-classical experiments implying observation samples of independent but not identically distributed random variables or even dependent random variables. Three examples of such experiments are treated in this book. First, the Generalized Linear Models are studied. They extend the standard regression model to non-Gaussian distributions. Statistical experiments with Markov chains are considered next. Finally, various statistical experiments generated by fractional Gaussian noise are also described. In this book, asymptotic properties of several sequences of estimators are detailed. The notion of asymptotical efficiency is discussed for the different statistical experiments considered in order to give the proper sense of estimation risk. Eighty examples and computations with R software are given throughout the text.
ISBN: 9780081012611Subjects--Topical Terms:
578740
Finance
--Mathematical models.Index Terms--Genre/Form:
542853
Electronic books.
LC Class. No.: HG106
Dewey Class. No.: 332.0151852
Statistical inference in financial and insurance mathematics with R /
LDR
:02202cmm a2200289 i 4500
001
2185745
006
m o d
007
cr cnu|||unuuu
008
200116s2018 enk ob 001 0 eng d
020
$a
9780081012611
$q
(electronic bk.)
020
$a
0081012616
$q
(electronic bk.)
020
$a
9781785480836
035
$a
(OCoLC)1013889091
035
$a
els69900589
040
$a
N$T
$b
eng
$e
rda
$e
pn
$c
N$T
$d
IDEBK
$d
EBLCP
$d
N$T
$d
OCLCF
$d
OPELS
$d
UAB
$d
GZM
$d
DKU
$d
SNK
041
0
$a
eng
050
4
$a
HG106
082
0 4
$a
332.0151852
$2
23
100
1
$a
Brouste, Alexandre,
$e
author.
$3
3399190
245
1 0
$a
Statistical inference in financial and insurance mathematics with R /
$c
Alexandre Brouste.
264
1
$a
London :
$b
ISTE Press Ltd ;
$a
Kidlington, Oxford :
$b
Elsevier Ltd.,
$c
2018.
300
$a
1 online resource
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
490
1
$a
Optimization in insurance and finance set
504
$a
Includes bibliographical references and index.
520
$a
Finance and insurance companies are facing a wide range of parametric statistical problems. Statistical experiments generated by a sample of independent and identically distributed random variables are frequent and well understood, especially those consisting of probability measures of an exponential type. However, the aforementioned applications also offer non-classical experiments implying observation samples of independent but not identically distributed random variables or even dependent random variables. Three examples of such experiments are treated in this book. First, the Generalized Linear Models are studied. They extend the standard regression model to non-Gaussian distributions. Statistical experiments with Markov chains are considered next. Finally, various statistical experiments generated by fractional Gaussian noise are also described. In this book, asymptotic properties of several sequences of estimators are detailed. The notion of asymptotical efficiency is discussed for the different statistical experiments considered in order to give the proper sense of estimation risk. Eighty examples and computations with R software are given throughout the text.
650
0
$a
Finance
$x
Mathematical models.
$3
578740
650
0
$a
Insurance
$x
Mathematical models.
$3
716532
655
4
$a
Electronic books.
$2
lcsh
$3
542853
830
0
$a
Optimization in insurance and finance set.
$3
3389849
856
4 0
$u
https://www.sciencedirect.com/science/book/9781785480836
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9372381
電子資源
11.線上閱覽_V
電子書
EB HG106
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入