<?php
$lang->gompertz = new stdclass();

$lang->gompertz->sample           = '数值序列';
$lang->gompertz->number           = '时间序列';
$lang->gompertz->lost             = '缺陷数';
$lang->gompertz->serial           = '序号';
$lang->gompertz->exceptLost       = '期望遗留缺陷率(%)';
$lang->gompertz->exceptTotal      = '期望累积缺陷数';
$lang->gompertz->method           = '方法';
$lang->gompertz->threeSumType     = '<p>曲线拟合算法：三和法</p>';
$lang->gompertz->LMType           = '<p>曲线拟合算法：Levenberg-Marquardt</p>';
$lang->gompertz->gompertzType     = '<p>Gompertz</p>';
$lang->gompertz->statistic        = '统计量描述';
$lang->gompertz->variable         = '变量';
$lang->gompertz->N                = 'N';
$lang->gompertz->cumulant         = '累计值';
$lang->gompertz->round            = '轮次';
$lang->gompertz->Kab              = '求解Kab';
$lang->gompertz->estimated        = '估计值';
$lang->gompertz->inflectionResult = '快速上升的拐点识别';
$lang->gompertz->describe         = '描述';
$lang->gompertz->value            = '值';
$lang->gompertz->t                = '缺陷快速上升的拐点t值';
$lang->gompertz->y                = '缺陷快速上升的拐点y值';
$lang->gompertz->test             = '当前测试的次数';
$lang->gompertz->target           = '缺陷目标值计算';
$lang->gompertz->wantLeave        = '期望遗留缺陷率';
$lang->gompertz->found            = '已发现的累计缺陷值';
$lang->gompertz->shouldLeave      = '应遗留的缺陷数';
$lang->gompertz->predicted        = '实现目标的理想测试次数';
$lang->gompertz->shouldFound      = '应发现的缺陷数';
$lang->gompertz->targetDiff       = '距离目标缺陷数差距';
$lang->gompertz->needTest         = '还需测试的次数';
$lang->gompertz->custom           = '达到任意缺陷值的理想测试次数预测';
$lang->gompertz->customTotal      = '期望累计缺陷数';
$lang->gompertz->customDiff       = '距离期望累计缺陷数的差距';
$lang->gompertz->customTest       = '还需测试的次数';
$lang->gompertz->cumulantTitle    = '累计发现的缺陷分析';
$lang->gompertz->singleTitle      = '单次测试发现的缺陷个数趋势';
$lang->gompertz->chartTitle       = '缺陷分析趋势图';

$lang->gompertz->chartLabel = array();
$lang->gompertz->chartLabel['name'] = 'dataValue';
$lang->gompertz->chartLabel['label'] = '数值标签';
$lang->gompertz->chartLabel['type'] = 'checkbox';
$lang->gompertz->chartLabel['enumOptions'] = array('actual' => '实际值', 'predicted' => '预测值');
$lang->gompertz->chartLabel['defaultValue'] = array();

$lang->gompertz->legend = new stdclass();
$lang->gompertz->legend->flaw         = '本次测试发现的缺陷数';
$lang->gompertz->legend->cumulant     = '累计发现缺陷数';
$lang->gompertz->legend->cumulantPrev = '累计发现缺陷数预测值';
$lang->gompertz->legend->singlePrev   = '预计的单次测试发现的缺陷数';
$lang->gompertz->legend->limit        = '累计缺陷极限值';

$lang->gompertz->limitError       = '期望累计缺陷数建议 %s ≤ 值 ≤ %s。';
$lang->gompertz->notNumberError   = '请选择与时间序列行数相等的数值列。';
$lang->gompertz->notNullError     = '排序列不能包含空值, 且与样本列行数相等。';
$lang->gompertz->notIntegerError  = '样本列必须为正整数。';
$lang->gompertz->notUniqueError   = '排序列需要为不重复列并且可排序。';
$lang->gompertz->rowNotEqualError = '样本列和排序列需要行数相等。';
$lang->gompertz->lessThan3        = '样本列行数需要≥3。';
$lang->gompertz->mustBeInteger    = '%s 必须为正整数。';
$lang->gompertz->canNotPredict    = '无法预测';