statistical software

Statistical difficulties Time Limit: 4000/2000 MS (Java/others) memory limit: 131070/65535 K (Java/Others)Total submission (s): 18759 accepted submission (s): 8289 Problem descriptionignatius recently encountered a problem. The teacher gave him many words (only lowercase letters are used and no duplicate words will appear ), the teacher asks him to calculate the number of words prefixed with a certain string (the word itself is also its own prefix

Statistical problem time limit: 2000 msmemory limit: 65535 kbthis problem will be judged on HDU. Original ID: 1251 64-bit integer Io format: % i64d Java class name: Main Ignatius recently encountered a problem. The teacher gave him many words (only consisting of lower-case letters and no repeated words ), the teacher asks him to calculate the number of words prefixed with a certain string (the word itself is also its own prefix ). The first part of in

A statistical production instance that can number visitors, record access times, IP addresses, and time I made a website, www.zydn.net, of course. Like everyone else, I also set up a counter on it. Every day I watched the counter constantly turning over. I was very happy, but then I thought again, who saw my website? Are new friends or old friends? I don't know how many times they came. I still want to assign a number to all of them, so I applied for

For the installed Cacti, to check whether the monitoring data is accurate and whether the statistical chart generated with rrdtool is as beautiful as officially shown, you can't wait to click the image column on the tab. The result is garbled, that is, Cacti generates a graph with Chinese characters. The rrdtool I installed is 1.4.5. To solve this problem, I checked it online. Rrdtool 1.4.5 supports the Chinese method for plotting:Finally, the solutio

redrawn again, and it will be drawn as shown:That is, the width of the line is allocated according to DataGridView, if the number of rows is finally set. If not, you can setDatagridview1.autosizerowsmode = Datagridviewautosizerowsmode.none;datagridview1.rowtemplate.height = 50;This has not been verified and should be feasible.3. Set cell colorFirst we want to get the position of the cell, and then the BackColor of its style is set, the specific code is as follows:THIS.DATAGRIDVIEWG6.ROWS[3]. CE

The hypothesis test of statistics can be divided into parameter test and nonparametric test, the parameter test is calculated according to some assumptions, when these assumptions can not be satisfied, the efficiency of the parameter test will be greatly discounted, even the wrong result, and the non-parameter test is usually without the hypothesis condition, so the application scope is wider than the parameter test.Non-parametric testing in the case of no assumptions, the maximum use of sample

Statistical puzzlesTime limit:2000MS Memory Limit:65535KB 64bit IO Format:%i64d %i64 U SubmitStatusDescriptionIgnatius recently encountered a problem, the teacher gave him a lot of words (only lowercase letters, no duplicate words appear), now the teacher asked him to count the number of words prefixed by a string (the word itself is also its own prefix).InputThe first part of the input data is a list of words, each line of a word, the length of th

Statistical puzzlesTime limit:4000/2000 MS (java/others) Memory limit:131070/65535 K (java/others)Total submission (s): 31479 Accepted Submission (s): 12087Problem Descriptionignatius recently encountered a problem, the teacher gave him a lot of words (only lowercase letters, no duplicate words appear), now the teacher asked him to count the number of words prefixed with a string (the word itself is also its own prefix).The first part of input data is

1. Descriptive statistical analysis-quantitative variables(1) The Basic installation package includes:The summary () function provides the mean value of the minimum, maximum, four, and numeric variables, as well as the frequency statistics of factor vectors and logical vectors;The Apply () or sapply () function calculates any descriptive statistic you choose. The format is: sapply (x,fun,options). where x is your data frame (or matrix), fun is an arbi

incidence of an event that is not exposed to a risk factor. 1.1.1.1.5. Advantage Ratio (odds ratio,or)The superiority ratio represents the ratio of the occurrence rate to the non-occurrence rate of an event in one case, and the ratio of the occurrence rate to the non-occurrence rate of the event in another case. The formula is:When the incidence of an event is very small, thus 1.1.1.2. Dynamic seriesA dynamic sequence represents a set of statistical

separation of the hyper-plane divides the feature space into two parts, a positive class, and a negative class part. The formula for the geometric distance of the function interval of a super-planar sample point should be written. So the objective function is to maximize the interval R. See Statistical learning Method 7.9 Interval boundaries, a very important concept. The dual algorithm of learning To solve the objective function o

The 10th chapter hidden Markov modelHidden Markov models (hidden Markov model, HMM) are statistical learning models that can be used for labeling problems, and describe the process of randomly generating observation sequences from hidden Markov chains, which belong to the generation model.10.1 Basic concepts of hidden Markov modelsdefinition 10.1 (Hidden Markov model) The hidden Markov model is a probabilistic model of time series, which describes the

Let's continue the discussion of reading Vapnik ' s book Statistical Learning theory. In the very beginning of the book, Vapnik first described and the fundamental approaches in pattern recognition:the Parametri C Estimation approach and the non-parametric estimation approach. Before introducing the non-parametric approach, which the support vector machine belongs to, Vapnik first address the Foll Owing three beliefs that the philosophy of parametric

The first blog post, writing Limited, brain supplement points.The above-mentioned statistical descriptions (mean, variance, standard deviation, median) I will not talk about, first from the distribution. In the distribution of this piece, the most basic is also the most important is the central limit theorem, and from the infinite population of a large number of repeated samples of the same capacity, the value of each sample summed to form a new distr

D-Statistical puzzlesTime limit:2000MS Memory Limit:65535KB 64bit IO Format:%i64d %i64 U SubmitStatusPracticeHDU 1251DescriptionIgnatius recently encountered a problem, the teacher gave him a lot of words (only lowercase letters, no duplicate words appear), now the teacher asked him to count the number of words prefixed by a string (the word itself is also its own prefix).InputThe first part of the input data is a list of words, each line of a word

Statistical puzzlesTime limit:4000/2000 MS (java/others) Memory limit:131070/65535 K (java/others)Total submission (s): 26574 Accepted Submission (s): 10760Problem Descriptionignatius recently encountered a problem, the teacher gave him a lot of words (only lowercase letters, no duplicate words appear), now the teacher asked him to count the number of words prefixed with a string (the word itself is also its own prefix).The first part of input data is

Statistical puzzlesTime limit:4000/2000 MS (java/others) Memory limit:131070/65535 K (java/others)Total submission (s): 22291 Accepted Submission (s): 9424Problem Descriptionignatius recently encountered a problem, the teacher gave him a lot of words (only lowercase letters, no duplicate words appear), now the teacher asked him to count the number of words prefixed with a string (the word itself is also its own prefix).The first part of input data i

Ascending tree is an ascending method based on the classification tree or the regression tree as the basic classifier. Ascension Tree is considered to be one of the best performance methods in statistical learning.The lifting method actually adopts the addition model ( linear combination of the basis function ) and the forward Step-up algorithmA lifting method based on decision tree is called an ascending tree?Decision tree for classification p

several words that appear in front of him.If the appearance of a word depends only on a word that appears in front of him, then we call it Bi-gram,P (T) = P (w1w2w3 ... Wn) =p (W1) P (w2| W1) P (w3| W1W2) ... P (wn| W1w2 ... Wn-1) ≈p (W1) P (w2| W1) P (w3| W2) ... P (wn| WN-1)Similarly, if the appearance of a word depends only on the two words that appear before, then we call it tri-gram.In practice the most used is bigram and trigram, and the effect is very good. More than four yuan is used ve

http://blog.csdn.net/abcjennifer/article/details/8164315This article explains the cart (classification and Regression Tree) from a statistical perspective, Bagging (Bootstrap aggregation), Random Forest Boosting the characteristics and classification of four classifiers, the reference material is Wang Bo at the University of Michigan Ji Zhu PDF and group. CART (Classification and Regression Tree) Breiman, Friedman, Olshen Stone (1984),