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php-manual-zh-5.2.4-1mdv2008.1.noarch.rpm

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><H1
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>CLIX. Statistics Functions</H1
><DIV
CLASS="PARTINTRO"
><A
NAME="AEN219684"
></A
><DIV
CLASS="section"
><H1
CLASS="section"
><A
NAME="stats.intro"
>简介</A
></H1
><P
>&#13;    This is the statistics extension. It contains few dozens of functions
    useful for statistical computations. It is a wrapper around 2 scientific
    libraries, namely DCDFLIB (Library of C routines for Cumulative
    Distributions Functions, Inverses, and Other parameters) by B. Brown &#38;
    J. Lavato and RANDLIB by Barry Brown, James Lavato &#38; Kathy Russell.
    Includes CD and PD functions.
   </P
></DIV
><DIV
CLASS="section"
><H1
CLASS="section"
><A
NAME="stats.installation"
>安装</A
></H1
><P
>&#13;    本 <A
HREF="http://pecl.php.net"
TARGET="_top"
>PECL</A
> 扩展未绑定于 PHP 中。
   </P
><P
>&#13;    安装此 PECL 扩展库的信息可在手册中标题为 <A
HREF="install.pecl.html"
>PECL 扩展库安装</A
>的一章中找到。 更多信息如新版本,下载,源文件,维护者信息以及更新日志等可以在这里找到:
    <A
HREF="http://pecl.php.net/package/stats"
TARGET="_top"
>http://pecl.php.net/package/stats</A
>.
   </P
><P
>&#13;    可以从 <A
HREF="http://www.php.net/downloads.php"
TARGET="_top"
>PHP
下载页面</A
>或者 <A
HREF="http://snaps.php.net/"
TARGET="_top"
>http://snaps.php.net/</A
>
下载此 <ACRONYM
CLASS="acronym"
>PECL</ACRONYM
> 扩展的
<ACRONYM
CLASS="acronym"
>DLL</ACRONYM
> 文件。
   </P
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><DIV
CLASS="section"
><H1
CLASS="section"
><A
NAME="stats.requirements"
>需求</A
></H1
><P
>&#13;    No external libraries are needed. The extension comes bundled with the libraries used.
   </P
></DIV
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><DIV
CLASS="TOC"
><DL
><DT
><B
>目录</B
></DT
><DT
><A
HREF="function.stats-absolute-deviation.html"
>stats_absolute_deviation</A
>&nbsp;--&nbsp;Returns the absolute deviation of an array of values</DT
><DT
><A
HREF="function.stats-cdf-beta.html"
>stats_cdf_beta</A
>&nbsp;--&nbsp;CDF function for BETA Distribution. Calculates any one parameter of the beta distribution given values for the others.</DT
><DT
><A
HREF="function.stats-cdf-binomial.html"
>stats_cdf_binomial</A
>&nbsp;--&nbsp;Calculates any one parameter of the binomial distribution given values for the others.</DT
><DT
><A
HREF="function.stats-cdf-cauchy.html"
>stats_cdf_cauchy</A
>&nbsp;--&nbsp;Not documented</DT
><DT
><A
HREF="function.stats-cdf-chisquare.html"
>stats_cdf_chisquare</A
>&nbsp;--&nbsp;Calculates any one parameter of the chi-square distribution given values for the others.</DT
><DT
><A
HREF="function.stats-cdf-exponential.html"
>stats_cdf_exponential</A
>&nbsp;--&nbsp;Not documented</DT
><DT
><A
HREF="function.stats-cdf-f.html"
>stats_cdf_f</A
>&nbsp;--&nbsp;Calculates any one parameter of the F distribution given values for the others.</DT
><DT
><A
HREF="function.stats-cdf-gamma.html"
>stats_cdf_gamma</A
>&nbsp;--&nbsp;Calculates any one parameter of the gamma distribution given values for the others.</DT
><DT
><A
HREF="function.stats-cdf-laplace.html"
>stats_cdf_laplace</A
>&nbsp;--&nbsp;Not documented</DT
><DT
><A
HREF="function.stats-cdf-logistic.html"
>stats_cdf_logistic</A
>&nbsp;--&nbsp;Not documented</DT
><DT
><A
HREF="function.stats-cdf-negative-binomial.html"
>stats_cdf_negative_binomial</A
>&nbsp;--&nbsp;Calculates any one parameter of the negative binomial distribution given values for the others.</DT
><DT
><A
HREF="function.stats-cdf-noncentral-chisquare.html"
>stats_cdf_noncentral_chisquare</A
>&nbsp;--&nbsp;Calculates any one parameter of the non-central chi-square distribution given values for the others.</DT
><DT
><A
HREF="function.stats-cdf-noncentral-f.html"
>stats_cdf_noncentral_f</A
>&nbsp;--&nbsp;Calculates any one parameter of the Non-central F distribution given values for the others.</DT
><DT
><A
HREF="function.stats-cdf-poisson.html"
>stats_cdf_poisson</A
>&nbsp;--&nbsp;Calculates any one parameter of the Poisson distribution given values for the others.</DT
><DT
><A
HREF="function.stats-cdf-t.html"
>stats_cdf_t</A
>&nbsp;--&nbsp;Calculates any one parameter of the T distribution given values for the others.</DT
><DT
><A
HREF="function.stats-cdf-uniform.html"
>stats_cdf_uniform</A
>&nbsp;--&nbsp;Not documented</DT
><DT
><A
HREF="function.stats-cdf-weibull.html"
>stats_cdf_weibull</A
>&nbsp;--&nbsp;Not documented</DT
><DT
><A
HREF="function.stats-covariance.html"
>stats_covariance</A
>&nbsp;--&nbsp;Computes the covariance of two data sets</DT
><DT
><A
HREF="function.stats-den-uniform.html"
>stats_den_uniform</A
>&nbsp;--&nbsp;Not documented</DT
><DT
><A
HREF="function.stats-dens-beta.html"
>stats_dens_beta</A
>&nbsp;--&nbsp;Not documented</DT
><DT
><A
HREF="function.stats-dens-cauchy.html"
>stats_dens_cauchy</A
>&nbsp;--&nbsp;Not documented</DT
><DT
><A
HREF="function.stats-dens-chisquare.html"
>stats_dens_chisquare</A
>&nbsp;--&nbsp;Not documented</DT
><DT
><A
HREF="function.stats-dens-exponential.html"
>stats_dens_exponential</A
>&nbsp;--&nbsp;Not documented</DT
><DT
><A
HREF="function.stats-dens-f.html"
>stats_dens_f</A
>&nbsp;--&nbsp;</DT
><DT
><A
HREF="function.stats-dens-gamma.html"
>stats_dens_gamma</A
>&nbsp;--&nbsp;Not documented</DT
><DT
><A
HREF="function.stats-dens-laplace.html"
>stats_dens_laplace</A
>&nbsp;--&nbsp;Not documented</DT
><DT
><A
HREF="function.stats-dens-logistic.html"
>stats_dens_logistic</A
>&nbsp;--&nbsp;Not documented</DT
><DT
><A
HREF="function.stats-dens-negative-binomial.html"
>stats_dens_negative_binomial</A
>&nbsp;--&nbsp;Not documented</DT
><DT
><A
HREF="function.stats-dens-normal.html"
>stats_dens_normal</A
>&nbsp;--&nbsp;Not documented</DT
><DT
><A
HREF="function.stats-dens-pmf-binomial.html"
>stats_dens_pmf_binomial</A
>&nbsp;--&nbsp;Not documented</DT
><DT
><A
HREF="function.stats-dens-pmf-hypergeometric.html"
>stats_dens_pmf_hypergeometric</A
>&nbsp;--&nbsp;</DT
><DT
><A
HREF="function.stats-dens-pmf-poisson.html"
>stats_dens_pmf_poisson</A
>&nbsp;--&nbsp;Not documented</DT
><DT
><A
HREF="function.stats-dens-t.html"
>stats_dens_t</A
>&nbsp;--&nbsp;Not documented</DT
><DT
><A
HREF="function.stats-dens-weibull.html"
>stats_dens_weibull</A
>&nbsp;--&nbsp;Not documented</DT
><DT
><A
HREF="function.stats-harmonic-mean.html"
>stats_harmonic_mean</A
>&nbsp;--&nbsp;Returns the harmonic mean of an array of values</DT
><DT
><A
HREF="function.stats-kurtosis.html"
>stats_kurtosis</A
>&nbsp;--&nbsp;Computes the kurtosis of the data in the array</DT
><DT
><A
HREF="function.stats-rand-gen-beta.html"
>stats_rand_gen_beta</A
>&nbsp;--&nbsp;Generates beta random deviate</DT
><DT
><A
HREF="function.stats-rand-gen-chisquare.html"
>stats_rand_gen_chisquare</A
>&nbsp;--&nbsp;Generates random deviate from the distribution of a chisquare with "df" degrees of freedom random variable.</DT
><DT
><A
HREF="function.stats-rand-gen-exponential.html"
>stats_rand_gen_exponential</A
>&nbsp;--&nbsp;Generates a single random deviate from an exponential distribution with mean "av"</DT
><DT
><A
HREF="function.stats-rand-gen-f.html"
>stats_rand_gen_f</A
>&nbsp;--&nbsp;Generates a random deviate from the F (variance ratio) distribution with "dfn" degrees of freedom in the numerator and "dfd" degrees of freedom in the denominator. Method : directly generates ratio of chisquare variates</DT
><DT
><A
HREF="function.stats-rand-gen-funiform.html"
>stats_rand_gen_funiform</A
>&nbsp;--&nbsp;Generates uniform float between low (exclusive) and high (exclusive)</DT
><DT
><A
HREF="function.stats-rand-gen-gamma.html"
>stats_rand_gen_gamma</A
>&nbsp;--&nbsp;Generates random deviates from a gamma distribution</DT
><DT
><A
HREF="function.stats-rand-gen-ibinomial-negative.html"
>stats_rand_gen_ibinomial_negative</A
>&nbsp;--&nbsp;Generates a single random deviate from a negative binomial distribution. Arguments : n - the number of trials in the negative binomial distribution from which a random deviate is to be generated (n &#62; 0), p - the probability of an event (0 &#60; p &#60; 1)).</DT
><DT
><A
HREF="function.stats-rand-gen-ibinomial.html"
>stats_rand_gen_ibinomial</A
>&nbsp;--&nbsp;Generates a single random deviate from a binomial distribution whose number of trials is "n" (n &#62;= 0) and whose probability of an event in each trial is "pp" ([0;1]). Method : algorithm BTPE</DT
><DT
><A
HREF="function.stats-rand-gen-int.html"
>stats_rand_gen_int</A
>&nbsp;--&nbsp;Generates random integer between 1 and 2147483562</DT
><DT
><A
HREF="function.stats-rand-gen-ipoisson.html"
>stats_rand_gen_ipoisson</A
>&nbsp;--&nbsp;Generates a single random deviate from a Poisson distribution with mean "mu" (mu &#62;= 0.0).</DT
><DT
><A
HREF="function.stats-rand-gen-iuniform.html"
>stats_rand_gen_iuniform</A
>&nbsp;--&nbsp;Generates integer uniformly distributed between LOW (inclusive) and HIGH (inclusive)</DT
><DT
><A
HREF="function.stats-rand-gen-noncenral-chisquare.html"
>stats_rand_gen_noncenral_chisquare</A
>&nbsp;--&nbsp;Generates random deviate from the distribution of a noncentral chisquare with "df" degrees of freedom and noncentrality parameter "xnonc". d must be &#62;= 1.0, xnonc must &#62;= 0.0</DT
><DT
><A
HREF="function.stats-rand-gen-noncentral-f.html"
>stats_rand_gen_noncentral_f</A
>&nbsp;--&nbsp;Generates a random deviate from the noncentral F (variance ratio) distribution with "dfn" degrees of freedom in the numerator, and "dfd" degrees of freedom in the denominator, and noncentrality parameter "xnonc". Method : directly generates ratio of noncentral numerator chisquare variate to central denominator chisquare variate.</DT
><DT
><A
HREF="function.stats-rand-gen-noncentral-t.html"
>stats_rand_gen_noncentral_t</A
>&nbsp;--&nbsp;Generates a single random deviate from a noncentral T distribution</DT
><DT
><A
HREF="function.stats-rand-gen-normal.html"
>stats_rand_gen_normal</A
>&nbsp;--&nbsp;Generates a single random deviate from a normal distribution with mean, av, and standard deviation, sd (sd &#62;= 0). Method : Renames SNORM from TOMS as slightly modified by BWB to use RANF instead of SUNIF.</DT
><DT
><A
HREF="function.stats-rand-gen-t.html"
>stats_rand_gen_t</A
>&nbsp;--&nbsp;Generates a single random deviate from a T distribution</DT
><DT
><A
HREF="function.stats-rand-get-seeds.html"
>stats_rand_get_seeds</A
>&nbsp;--&nbsp;Not documented</DT
><DT
><A
HREF="function.stats-rand-phrase-to-seeds.html"
>stats_rand_phrase_to_seeds</A
>&nbsp;--&nbsp;generate two seeds for the RGN random number generator</DT
><DT
><A
HREF="function.stats-rand-ranf.html"
>stats_rand_ranf</A
>&nbsp;--&nbsp;Returns a random floating point number from a uniform distribution over 0 - 1 (endpoints of this interval are not returned) using the current generator</DT
><DT
><A
HREF="function.stats-rand-setall.html"
>stats_rand_setall</A
>&nbsp;--&nbsp;Not documented</DT
><DT
><A
HREF="function.stats-skew.html"
>stats_skew</A
>&nbsp;--&nbsp;Computes the skewness of the data in the array</DT
><DT
><A
HREF="function.stats-standard-deviation.html"
>stats_standard_deviation</A
>&nbsp;--&nbsp;Returns the standard deviation</DT
><DT
><A
HREF="function.stats-stat-binomial-coef.html"
>stats_stat_binomial_coef</A
>&nbsp;--&nbsp;Not documented</DT
><DT
><A
HREF="function.stats-stat-correlation.html"
>stats_stat_correlation</A
>&nbsp;--&nbsp;Not documented</DT
><DT
><A
HREF="function.stats-stat-gennch.html"
>stats_stat_gennch</A
>&nbsp;--&nbsp;Not documented</DT
><DT
><A
HREF="function.stats-stat-independent-t.html"
>stats_stat_independent_t</A
>&nbsp;--&nbsp;Not documented</DT
><DT
><A
HREF="function.stats-stat-innerproduct.html"
>stats_stat_innerproduct</A
>&nbsp;--&nbsp;</DT
><DT
><A
HREF="function.stats-stat-noncentral-t.html"
>stats_stat_noncentral_t</A
>&nbsp;--&nbsp;Calculates any one parameter of the noncentral t distribution give values for the others.</DT
><DT
><A
HREF="function.stats-stat-paired-t.html"
>stats_stat_paired_t</A
>&nbsp;--&nbsp;Not documented</DT
><DT
><A
HREF="function.stats-stat-percentile.html"
>stats_stat_percentile</A
>&nbsp;--&nbsp;Not documented</DT
><DT
><A
HREF="function.stats-stat-powersum.html"
>stats_stat_powersum</A
>&nbsp;--&nbsp;Not documented</DT
><DT
><A
HREF="function.stats-variance.html"
>stats_variance</A
>&nbsp;--&nbsp;Returns the population variance</DT
></DL
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