Statistical hypotheses

Xem 1-20 trên 26 kết quả Statistical hypotheses
  • (BQ) Part 1 book "Design of experiments in chemical engineering" has contents: The simplest discrete and continuous distributions, discrete distributions, continuous distribution, normal distributions, statistical inference, statistical hypotheses, statistical estimation,...and other contents.

    pdf167p bautroibinhyen20 06-03-2017 7 4   Download

  • We introduce a novel search algorithm for statistical machine translation based on dynamic programming (DP). During the search process two statistical knowledge sources are combined: a translation model and a bigram language model. This search algorithm expands hypotheses along the positions of the target string while guaranteeing progressive coverage of the words in the source string. We present experimental results on the Verbmobil task.

    pdf8p bunrieu_1 18-04-2013 25 4   Download

  • (BQ) Part 2 book "Introduction to probability and statistics" has contents: Large-Sample tests of hypotheses; inference from small samples; the analysis of variance; linear regression and correlation; multiple regression analysis; analysis of categorical data; nonparametric statistics.

    pdf406p bautroibinhyen30 15-06-2017 5 4   Download

  • This paper presents hypothesis mixture decoding (HM decoding), a new decoding scheme that performs translation reconstruction using hypotheses generated by multiple translation systems.

    pdf10p hongdo_1 12-04-2013 16 2   Download

  • We describe Akamon, an open source toolkit for tree and forest-based statistical machine translation (Liu et al., 2006; Mi et al., 2008; Mi and Huang, 2008). Akamon implements all of the algorithms required for tree/forestto-string decoding using tree-to-string translation rules: multiple-thread forest-based decoding, n-gram language model integration, beam- and cube-pruning, k-best hypotheses extraction, and minimum error rate training.

    pdf6p nghetay_1 07-04-2013 18 1   Download

  • Word and n-gram posterior probabilities estimated on N-best hypotheses have been used to improve the performance of statistical machine translation (SMT) in a rescoring framework. In this paper, we extend the idea to estimate the posterior probabilities on N-best hypotheses for translation phrase-pairs, target language n-grams, and source word reorderings. The SMT system is self-enhanced with the posterior knowledge learned from Nbest hypotheses in a re-decoding framework.

    pdf4p hongphan_1 15-04-2013 21 1   Download

  • This paper describes a novel method for computing a consensus translation from the outputs of multiple machine translation (MT) systems. The outputs are combined and a possibly new translation hypothesis can be generated. Similarly to the well-established ROVER approach of (Fiscus, 1997) for combining speech recognition hypotheses, the consensus translation is computed by voting on a confusion network.

    pdf8p bunthai_1 06-05-2013 19 1   Download

  • Chapter 9 - Hypothesis testing. After mastering the material in this chapter, you will be able to: Set Up appropriate null and alternative hypotheses, describe Type I and Type II errors and their probabilities, use critical values and p-values to perform a z test about a population mean when s is known,...

    ppt12p whocare_b 05-09-2016 5 1   Download

  • Chapter 13 - Chi-square tests. After mastering the material in this chapter, you will be able to: Test hypotheses about multinomial probabilities by using a chi-square goodness-of-fit test, perform a goodness-of-fit test for normality, decide whether two qualitative variables are independent by using a chi-square test for independence.

    ppt10p whocare_b 05-09-2016 8 1   Download

  • Lecture "Applied econometrics course - Chapter 3: Statistic inference and hypothesis testing" has content: The distribution of the parameters, hypotheses testing, testing multiple linear restrictions,... and other contents.

    ppt33p bautroibinhyen18 18-02-2017 2 1   Download

  • (BQ) Part 2 book "Statistics" has contents: Inferences based on a two samples - Confidence intervals and tests of hypotheses; analysis of variance - Comparing more than two means; simple linear regression; multiple regression and model building; categorical data analysis; nonparametric statistics.

    pdf469p bautroibinhyen23 02-04-2017 2 1   Download

  • his monograph presents methods for full comparative distributional analysis based on the relative distribution. This provides a general integrated framework for analysis, a graphical component that simplifies exploratory data analysis and display, a statistically valid basis for the development of hypothesis-driven summary measures, and the potential for decomposition - enabling the examination of complex hypotheses regarding the origins of distributional changes within and between groups.

    pdf280p banhkem0908 24-11-2012 23 4   Download

  • As science, ecology is often accused of being weak because of its basic lack of predictive power (Peters 1991) and the many ecological concepts judged vague or tautological (Shrader-Frechette and McCoy 1993). Also, important paradigms that dominated the ecological scene for years have been discarded in favor of new concepts and theories that swamp the most recent ecological literature (e.g., the abandoning of the island biogeography theory in favor of the metapopulations theory; Hanski and Simberloff 1997).

    pdf476p phoebe75 01-02-2013 20 3   Download

  • In this chapter you will: Develop an understanding of the importance and nature of quality control checks, understand the data entry process and data entry alternatives, learn how surveys are tabulated and cross-tabulated, understand the concept of hypothesis development and how to text hypotheses.

    ppt24p allbymyself_06 28-01-2016 6 2   Download

  • Chapter 7 – Hypothesis testing. This chapter include objectives: Define a hypothesis and describe the steps of hypothesis testing, define a hypothesis and describe the steps of hypothesis testing, distinguish between one-tailed and two-tailed tests of hypotheses,...

    ppt32p allbymyself_10 03-03-2016 17 1   Download

  • In this chapter students will be able to: Explain the difference between descriptive and inferential statistics; use the four analytical steps to interpret written research findings; identify if the appropriate test of difference is used with research questions and hypotheses; apart from the researcher's written presentation, independently interpret research findings.

    ppt27p luimotbuoc_4 11-11-2016 5 1   Download

  • C H A P T E R 17 High performance – statistical inference for comparing population means and bivariate data Chapter objectives This chapter will help you to: ■ test hypotheses on the difference between two population means using independent samples and draw appropriate conclusions ■ carry out tests of hypotheses about the difference between two population means using paired data and draw appropriate conclusions ■ test differences between population means using analysis of variance analysis (ANOVA) and draw appropriate conclusions ...

    pdf58p leslienguyen 21-11-2010 59 16   Download

  • Generalizing a Sample’s Findings to Its Population and Testing Hypotheses About Percents and Means. Statistics Versus Parameters • Statistics: values that are computed from information provided by a sample • Parameters: values that are computed from a complete census which are considered to be precise and valid measures of the population

    pdf48p leslienguyen 24-11-2010 57 13   Download

  • Detection and classification arise in signal processing problems whenever a decision is to be made among a finite number of hypotheses concerning an observed waveform. Signal detection algorithms decide whether the waveform consists of “noise alone” or “signal masked by noise.” Signal classification algorithms decide whether a detected signal belongs to one or another of prespecified classes of signals. The objective of signal detection and classification theory is to specify systematic strategies for designing algorithms which minimize the average number of decision errors.

    pdf15p longmontran 18-01-2010 50 9   Download

  • This difference is substantial and highly statistically significant in all specifications. These results are consistent with two different hypotheses. First, unobservable factors at the management company level could be associated with both the decision to specialize in SRI funds and higher fees and performance. In this case, socially responsible investing itself would not have any effect on performance or fees.

    pdf0p khanhchilam 29-03-2013 29 7   Download


Đồng bộ tài khoản