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Percentage Point Change

by unknown authors
"... l. randall wray The Federal Reserve has done the inevitable. For months, members of the Board of Governors have been warning anyone who would listen that “the federal funds rate cannot be held at its current level indefinitely ” and must be raised “at some point to prevent pressures on price inflati ..."
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l. randall wray The Federal Reserve has done the inevitable. For months, members of the Board of Governors have been warning anyone who would listen that “the federal funds rate cannot be held at its current level indefinitely ” and must be raised “at some point to prevent pressures on price

of Percentage Points of the Noncentral F Distribution

by John S. Chipman
"... We show how to to compute values and inverses (“percentage points”, or “cut-off points”) of the noncentral F and Beta distributions. The noncentral F distribution function for p and q degrees of freedom and noncentrality ..."
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We show how to to compute values and inverses (“percentage points”, or “cut-off points”) of the noncentral F and Beta distributions. The noncentral F distribution function for p and q degrees of freedom and noncentrality

Percentage Points from t or F Distributions

by M. C. Thompson Cytotax, R. Gamborg, W. A. Keller, M. H. Yang
"... soybean protoplasts. Can. J. Genet Cytol. 13:347-353, ..."
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soybean protoplasts. Can. J. Genet Cytol. 13:347-353,

A SAS/IML Macro for Computing Percentage Points of Pearson Distributions

by Wei Pan
"... The Pearson distribution family provides approximations to a wide variety of observed distributions using the first four moments or the first three moments with a left or right boundary. Curve fitting utilizing Pearson distributions has been extensively applied in many fields. However, in practice, ..."
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, it is quite unwieldy to obtain percentage points of Pearson distributions when consulting the massive tables of Pearson and Hartley (1972) or using the out-of-date computer programs (Amos and Daniel 1971; Bouver and Bargmann 1974; Davis and Stephens 1983). The present study compiled a convenient computer

Tables of percentage points of the k-variate normal distribution for large values of k

by William C. Horrace - Communications in Statistics: Simulation & Computation , 1998
"... Key words: multivariate normal distribution; multiple comparisons; simultaneous confidence intervals This paper gives tabulations of the upper α percentage points of the maximum absolute value of the k-variate normal distribution with common correlation ρ for values of k as high as 500. The tables a ..."
Abstract - Cited by 3 (3 self) - Add to MetaCart
Key words: multivariate normal distribution; multiple comparisons; simultaneous confidence intervals This paper gives tabulations of the upper α percentage points of the maximum absolute value of the k-variate normal distribution with common correlation ρ for values of k as high as 500. The tables

Estimating Wealth Effects without Expenditure Data— or Tears

by Deon Filmer, Lant Pritchett - Policy Research Working Paper 1980, The World , 1998
"... Abstract: We use the National Family Health Survey (NFHS) data collected in Indian states in 1992 and 1993 to estimate the relationship between household wealth and the probability a child (aged 6 to 14) is enrolled in school. A methodological difficulty to overcome is that the NFHS, modeled closely ..."
Abstract - Cited by 871 (16 self) - Add to MetaCart
of children across states of India. While on average across India a rich (top 20 percent of the asset index) child is 31 percentage points more likely to be enrolled than a poor child (bottom 40 percent), this wealth gap varies from only 4.6 in Kerala, to 38.2 in Uttar Pradesh and 42.6 percentage points

MAFFT version 5: improvement in accuracy of multiple sequence alignment

by Kazutaka Katoh, Kei-ichi Kuma, Hiroyuki Toh, Takashi Miyata - NUCLEIC ACIDS RES , 2005
"... The accuracy of multiple sequence alignment pro-gram MAFFT has been improved. The new version (5.3) of MAFFT offers new iterative refinement options, H-INS-i, F-INS-i and G-INS-i, in which pairwise alignment information are incorporated into objective function. These new options of MAFFT showed high ..."
Abstract - Cited by 801 (5 self) - Add to MetaCart
the effect of the number of homologues included in an alignment. For a multiple alignment consisting of 8 sequences with low similarity, the accuracy was improved (2–10 percentage points) when the sequences were aligned together with dozens of their close homologues (E-value, 105–1020) col-lected from a

1FURTHER PERCENTAGE POINTS FOR GREENWOOD'S STATISTIC By

by Afr M A Stephens Nsia-c, Michael A. Stephens, Michael A. Stephens , 1980
"... Approved for public release; distribution unlimited. ..."
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Approved for public release; distribution unlimited.

Printed in Great Britain Percentage points of the extreme roots of a Wishart matrix

by R. Choudary Hanumara, W. A. Thompson
"... This paper tabulates the distribution of the largest and smallest characteristic roots of a Wishart matrix; the computation is based on an approximation derived from work of Pillai. As an application, we present simultaneous confidence intervals for the variance components of the two-way layout with ..."
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This paper tabulates the distribution of the largest and smallest characteristic roots of a Wishart matrix; the computation is based on an approximation derived from work of Pillai. As an application, we present simultaneous confidence intervals for the variance components of the two-way layout with unequal variances. 1. TABLES OF THE EXTBBME BOOTS Given (ya,...,yip) ' (i = 1,...,N), a sample of size N from the multivariate N(ji, 2) distri-bution, we write N

A Numerical Procedure for Computing Chi-Square Percentage Points

by Waheed Babatunde Yahya, Philip Iyiola Farayola, Daniel Eni
"... In this work, a simpler algorithm for computing probability values of a Chi-square (χ2) random variable X is provided. This algorithm accurately provides comprehensive χ2 probability values for all the range of X at specified degrees of freedom without further need to extrapolate before some desired ..."
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In this work, a simpler algorithm for computing probability values of a Chi-square (χ2) random variable X is provided. This algorithm accurately provides comprehensive χ2 probability values for all the range of X at specified degrees of freedom without further need to extrapolate before some desired χ2 probability values are obtained as a result of their non-availability in some of the currently available statistical tables. It is further demonstrated that, the p-values for any χ2-tests could be readily obtained from the χ2 probability values computed by our method. Key Words:χ2-tests; P-value; Normal approximation; power divergent goodness-of-fit test; Quartic
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