good statistics book

-- ------------------------ SELECTDate, MAX(CASENAMEWHEN‘小说‘THENScount ELSE0 END) 小说, MAX(CASENAMEWHEN‘‘ THENScount ELSE0 END) FROMTabName GROUPBYDate 　　 --- ----------------------- --row-to-column statistics ----------- --------------- select NBSP;NBSP;NBSP;NBSP; date name ,scount) As b_str from NBSP; group by date /table>

The LAG () and lead () statistics functions are able to fetch the first n rows of the same field and the values of the last n rows in a single query . Such operations can be implemented using table joins to the same table, but using lags and leads is more efficient. The following examples of lag () and lead () are organized:LAG (expression,Sql> Select Year,region,profit, Lag (profit,1) over (order by year) as 51xit_exp from test;Year Region PROFIT 51x

Original: 12th Chapter--sqlserver Statistics (4)--statistical information on the filtered indexObjective:From The beginning, a new feature is introduced to enhance the nonclustered index-filter index, youcan use a statement with a where condition to create a nonclustered index, filter out the unwanted data, Improve query performance by reducing maintenance overhead and storage space for indexes.Preparatory work:On the AdventureWorks2012 , there is a

) {collection.update ({"Name": Name, "Time.day":d ay, "title": title},{$inc: {"PV": 1}},function (ERR) {mongodb.close (); if (err) return callback (ERR);}); Doc.post=markdown.tohtml (doc.post);d Oc.comments.forEach (function (comment) {comment.content = markdown.tohtml ( comment.content);});} Callback (null, DOC);//return query for an article});});};Note here: Collection.findone ({"Name": Name,"Time.day": Day,"title": Title}, function (Err, doc) {if (err) {Mongodb.close ();Return callback (ERR);

likelihood function called a sample. Any observations of the sample (), if is called the maximum likelihood estimate of the parameter, which is the maximum likelihood estimator of the parameter. If or about differentiable, the maximum likelihood estimate of the parameter can be obtained by the equation: Get. For the monotone function, the maximum likelihood estimate of the parameter can also be obtained by the equation: , the solution of the latter one is often much more convenient than the

Book Registration Management System The book Registration management system should have the following functions:(1), through the keyboard to enter a book information;(2), given the book number, display the information of the book;(3), given the name of the author, display a

the "Basic Probability theory Tutorial", corresponding to the original book Nineth version, also has a photocopy of English. This book throws away the measure, discusses the probability question from the angle of the central limit theorem, the explanation of the concept is more popular, the book also contains the massive close contact Life application example an

the electronic version of the. Not introduced0.003 probability theoryTeaching materials: 1. Recommended introduction to the probability of the MIT 2. "Statistical thinking: the probability statistics of programmers ' mathematics" PS: The mathematical analysis, stochastic process, and other advanced courses are good to repeat.0.004 Discrete Mathematics based on computer scienceTeaching materials: 1. Discrete mathematics and its application0.005 Combin

Oracle Performance Diagnosis art (milestone book on Oracle Database optimization) [Original book name] troubleshooting Oracle Performance[Original Publishing House] apress[Author] (Swiss) Christian antognini [same as the author's work] [Translator's introduction][Translated by] Tong Jiawang; Hu Yiwen; Feng dahui [same translator's work][Book name] Turing program

Collect Oracle statistics Optimizer statistical range: Table statistics; -- number of rows, number of blocks, average length of rows; all_tables: num_rows, blocks, avg_row_len;Column statistics; -- the number of unique values in the column, the number of null values, and the data distribution;-- Dba_tab_columns: num_distinct, num_nulls, histogram;Index

process statistics, analyze and visualize data. Through various examples, the reader can learn the core algorithm of machine learning, and can apply it to some strategic tasks, such as classification, prediction, recommendation. In addition, they can be used to implement some of the more advanced features, such as summarization and simplification. I've seen a part of this book before, but the internship in

management list of books Bibliography Brief Commentary [x] a strange life Time Statistics with Liubischeff [x] 8,760 hours a year Alex's biography and Time management [x] and time to be friends Li Yu, mind and time management. [X] Time management: How to make the best use of 24 hours It's also about time management. Other forms of books bibl

Becoming a Senior Programmer proficient in Linux programming has always been the goal of many friends. According to statistics from chinacache, the monthly salary of Linux programmers in Beijing is 1.8 times that of Windows programmers, 2.6 times that of Java programmers, and 2.9 times that of Windows programmers. At the same time, the data shows that with the increase of work experience, the income gap between Linux programmers and Windows programmer

Https://github.com/josephmisiti/awesome-machine-learning/blob/master/books.mdMachine-learning/data Mining An Introduction to statistical learning-book + R Code Elements of statistical Learning-book Probabilistic Programming Bayesian Methods for Hackers-book + IPython notebooks Thinking Bayes-book + Python Co

simple printing has been taught to complete project implementation, so that beginners start from the basic programming technology, and finally experience the basic process of software development."Daniel Evaluation" Hardway (Stupid method) is more suitable for starting programming, as a beginner of Python is very good.Fourth a feifanyuyule.cn haiyuanylpt.com yihuangylpt.cn yigouylpt2.comHere we recommend the last "collective intelligence programming"Based on machine learning and computational

Introduction to statistics management of Optimizer1. Preface In our daily maintenance, we accept some systems that have been running well for a long time. suddenly one day, the user did not perform any operation. It took only a few seconds for a function module of the system or a report, but now it takes several minutes or longer to return the result. In this case, we usually analyze the SQL statement and find that the SQL Execution Plan has changed.

LOCATIONS 20140307 10:36:47 4. Scheduling statistics (11 GB) By default, Oracle defines the scheduler for collecting statistics. The scheduler about automatic collection statistics configured in Oracle 11g is listed below. The SQL script called below is originally used in Oracle Performance Diagnosis book sys @ MMBO>

Collect statistics from ORACLE Link: http://blog.itpub.net/2317695/viewspace-1226138/Today, I saw an article on Statistics Collection on the Internet, which is not bad. 1. Understand what is statistical information Optimizer statistics are a set of objects that describe databases and databases in more detail. These statistics