statistics and data analysis for financial engineering with r examples

Tags: drop ora way and data test var sub glob In the recent study of Oracle statistics, the method for collecting statistics is as follows:Dbms_stats. Gather_table_stats (Ownname VARCHAR2,---owner name tabname VARCHAR2,---table name partname VARCHAR2 DEFAULT NULL,---The partition name to parse Estimat E_percent number DEFAULT NULL,---the scale of the sample block

variance of chi-square The mean value of the distribution is degrees of freedom N, $$ E (x^2) = n$$The variance of the distribution is twice times the degree of freedom (2n), recorded as $$ D (x^2) = 2n$$ Properties 1) in the first quadrant, the Chi-square value is positive, positive-biased (right-biased), with the increase of the parameter n, the distribution tends to normal distribution, the area under the chi-square distribution density curve is 1.2) the mean and variance

Fitting and testing of distribution More MATLAB Data Analysis Video Please click, or in the NetEase cloud classroom search "MATLAB data analysis and statistics" http://study.163.com/course/courseMain.htm?courseId=1003615016 In some statistical inferences, it is generally ass

Reprint Please indicate the source: http://blog.csdn.net/mxway/article/details/21321541 In the search engine in the usual number of keywords appear in the statistics, this article analyzes the use of C + + STL map for statistics, and the use of Dictionary tree statistics in the running speed, space and applicable occasions for

Distribution When N of the sample distribution is large, the extreme distribution is used as an approximation of the sample distribution. This extreme distribution is called a progressive distribution.Approximate distribution obtained by Random Simulation Distribution of observed values satisfied by repeated experiments.Several Important Distributions derived from normal distribution, Chi-square distribution, tdistribution, and F distribution It plays an important role in variance

Deep and simple data analysis is one of the "deep and simple" series of American o'reilly press. This series is characterized by a lot of thoughts on how to make readers more comfortable to read and remember more content in the book. Although the book is thick, there are many illustrations. Illustrations and texts are often mixed together without obvious boundaries. It is really easy to read. It is easier t

#-*-coding:utf-8-*-#analysis of food and beverage sales data statistics from __future__ Importprint_functionImportPandas as Pdcatering_sale='.. /data/catering_sale.xls' #Dining Datadata = Pd.read_excel (Catering_sale, Index_col = u'Date')#reading data, specifying "date" as i

The Pandas object has some common mathematical and statistical methods. For example, the sum () method, which makes the column subtotal: the sum () method passed in Axis=1 is specified as a horizontal summary, which is subtotal: Idxmax () gets the index of the maximum value: There is also a rollup that is cumulative, cumsum (), compared to it and Su The difference between M ():The unique () method is used to return only values in the data: the Value_

Examples of exception detection methods and ideas based on Big Data Analysis 1 OverviewWith the deepening of information technology in human society, the data produced by information systems is also growing exponentially. In-depth analysis of such

Http://www.cnblogs.com/batteryhp/p/4868348.htmlChapter I preparatory workStarting today the book-"Data analysis using Python". Both R and Python have to be used, which is the reason for the code book. First, according to the book said to install, Google downloaded Epd_free-7.3-1-win-x86.msi, the translator proposed to follow the author's version of the installation, epdfree including Numpy,scipy,matplotlib,