Statistics classes

Many people find statistics challenging, but most statistics professors do not. As a result, it is sometimes hard for our professors and the authors of statistics textbooks to make statistics clear and practical for business students, managers, and executives. Business Statistics Demystified fills that gap. We begin slowly, introducing statistical concepts without mathematics.
399p kimngan_1 06112012 61 31 Download

When sitting in statistics classes or when trying to read and understand statistical material, too many otherwise intelligent and capable students and researchers feel dumb. This book is intended as an antidote. It is designed to make you feel smart and competent. Its approach is conservative in that it attempts to identify and present the essentials of data analysis as developed by statisticians over the last two or three centuries.
0p cronus75 14012013 26 8 Download

CHAPTER 1 Preface. These are class notes from several different graduate econometrics and statistics classes. In the Spring 2000 they were used for Statistics 6869, syllabus on p. ??, and in the Fall 2000 for Economics 7800, syllabus on p. ??.
88p leslienguyen 28102010 58 8 Download

We present a syntaxbased statistical translation model. Our model transforms a sourcelanguage parse tree into a targetlanguage string by applying stochastic operations at each node. These operations capture linguistic differences such as word order and case marking. Model parameters are estimated in polynomial time using an EM algorithm. The model produces word alignments that are better than those produced by IBM Model 5. is conditioned only on word classes and positions in the string, and the duplication and translation are conditioned only on the word identity. ...
8p bunrieu_1 18042013 18 4 Download

I am grateful for the contributions that many people have made to this book. Ed Maggin was the first to teach me Statistical Thermodynamics and his class notes were always a point of reference. The late Ted H. Davis gave me encouragement and invaluable feedback. Dan Bolintineanu and Thomas Jikku read the final draft and helped me make many corrections. Many thanks go to the students who attended my course in Statistical Thermodynamics and who provided me with many valuable comments regarding the structure of the book.
328p namde01 10042013 18 3 Download

In this paper, we present a novel approach which incorporates the webderived selectional preferences to improve statistical dependency parsing. Conventional selectional preference learning methods have usually focused on wordtoclass relations, e.g., a verb selects as its subject a given nominal class.
10p hongdo_1 12042013 12 3 Download

In this paper, a new language model, the MultiClass Composite Ngram, is proposed to avoid a data sparseness problem for spoken language in that it is difﬁcult to collect training data. The MultiClass Composite Ngram maintains an accurate word prediction capability and reliability for sparse data with a compact model size based on multiple word clusters, called MultiClasses. In the MultiClass, the statistical connectivity at each position of the Ngrams is regarded as word attributes, and one word cluster each is created to represent the positional attributes. ...
8p bunrieu_1 18042013 26 3 Download

This paper describes an all level approach on statistical natural language translation (SNLT). W i t h o u t any predefined knowledge the system learns a statistical translation lexicon (STL), word classes (WCs) and translation rules (TRs) from a parallel corpus thereby producing a generalized form of a word alignment (WA). The translation process itself is realized as a beam search.
5p bunrieu_1 18042013 15 2 Download

In this paper I propose a generalization of lexical association techniques that is intended to facilitate statistical discovery of facts involving word classes rather than individual words. Although defining association measures over classes (as sets of words) is straightforward in theory, making direct use of such a definition is impractical because there are simply too many classes to consider. Rather than considering all possible classes, I propose constraining the set of possible word classes by using a broadcoverage lexical/conceptual hierarchy [Miller, 1990]. ...
3p bunmoc_1 20042013 17 2 Download

A serious bottleneck of comparative parser evaluation is the fact that different parsers subscribe to different formal frameworks and theoretical assumptions. Converting outputs from one framework to another is less than optimal as it easily introduces noise into the process. Here we present a principled protocol for evaluating parsing results across frameworks based on function trees, tree generalization and edit distance metrics. This extends a previously proposed framework for crosstheory evaluation and allows us to compare a wider class of parsers. ...
11p bunthai_1 06052013 16 2 Download

In statistical natural language processing we always face the problem of sparse data. One way to reduce this problem is to group words into equivalence classes which is a standard method in statistical language modeling. In this paper we describe a method to determine bilingual word classes suitable for statistical machine translation. We develop an optimization criterion based on a maximumlikelihood approach and describe a clustering algorithm. We will show that the usage of the bilingual word classes we get can improve statistical machine translation. ...
6p bunthai_1 06052013 11 2 Download

The institution of a leisure class is found in its best development at the higher stages of the barbarian culture; as, for instance, in feudal Europe or feudal Japan. In such communities the distinction between classes is very rigorously observed; and the feature of most striking economic significance in these class differences is the distinction maintained between the employments proper to the several classes. The upper classes are by custom exempt or excluded from industrial occupations, and are reserved for certain employments to which a degree of honour attaches.
269p nguyenhuucanh1212 23012013 19 1 Download

In statistical language modeling, one technique to reduce the problematic eﬀects of data sparsity is to partition the vocabulary into equivalence classes. In this paper we investigate the eﬀects of applying such a technique to higherorder ngram models trained on large corpora.
8p hongphan_1 15042013 17 1 Download

This paper examines whether a learningbased coreference resolver can be improved using semantic class knowledge that is automatically acquired from a version of the Penn Treebank in which the noun phrases are labeled with their semantic classes. Experiments on the ACE test data show that a resolver that employs such induced semantic class knowledge yields a statistically significant improvement of 2% in Fmeasure over one that exploits heuristically computed semantic class knowledge. In addition, the induced knowledge improves the accuracy of common noun resolution by 26%. ...
8p hongvang_1 16042013 14 1 Download

INTENDED FOR CLASS USE OR SELFSTUDY, this text aspires to introduce statistical methodology to a wide audience, simply and intuitively, through resampling from the data at hand. The resampling methods—permutations and the bootstrap—are easy to learn and easy to apply. They require no mathematics beyond introductory highschool algebra, yet are applicable in an exceptionally broad range of subject areas.
246p ptng13 17052012 67 29 Download

Asset allocation investigates the optimal division of a portfolio among different asset classes. Standard theory involves the optimal mix of risky stocks, bonds, and cash together with various subdivisions of these asset classes. Underlying this is the insight that diversification allows for achieving a balance between risk and return: by using different types of investment, losses may be limited and returns are made less volatile without losing too much potential gain.
414p hotmoingay 04012013 32 9 Download

Statistical communication theory is generally ragarded as having been founed by Shannon( 1948) and Wiene(1949), who conceived of the communication situation as one in which a signal chosen from a specified class is to be tranmitted through of channel, but the output of the channel is not determined by the input
345p tiramisu0908 25102012 28 8 Download

Probability and Statistics for Programmers .Think Stats Probability and Statistics for Programmers Version 1.5.9 Allen B. Downey Green Tea Press Needham, Massachusetts .Green Tea Press 9 Washburn Ave Needham MA 02492 Permission is granted to copy, distribute, and/or modify this document under the terms of the Creative Commons AttributionNonCommercial 3.0 Unported License, which is available at http://creativecommons.org/licenses/bync/3.0/. ..
0p taurus23 27092012 33 5 Download

CHAPTER 3 Random Variables. 3.1. Notation Throughout these class notes, lower case bold letters will be used for vectors and upper case bold letters for matrices, and letters that are not bold for scalars. The (i, j) element of the matrix A is aij , and the ith element of a vector b is bi
75p leslienguyen 28102010 38 4 Download

Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2011, Article ID 980805, 15 pages doi:10.1155/2011/980805 Research Article Optimal Multitaper Wigner Spectrum Estimation of a Class of Locally Stationary Processes Using Hermite Functions Maria HanssonSandsten (EURASIP Member) Mathematical Statistics, Centre for Mathematical Sciences, Lund University, P.O. Box 118, 221 00 Lund, Sweden Correspondence should be addressed to Maria HanssonSandsten, sandsten@maths.lth.
15p dauphong13 10022012 21 4 Download