Prezados, desculpe pela falta de informação.<div>Reproduzo, abaixo, os comandos utilizados em cada pacote estatístico. Porém, não estou incluindo o conjunto de dados.</div><div><br></div><div>No R:</div><div>----------------------</div>
<div><div>dados.VOL = glm(VOL ~ AREA + BLOCO + AREA:BLOCO + TRAT + AREA:TRAT, family=Gamma(link="log"))</div><div>anova(dados.VOL, test="Chi")</div><div>summary(dados.VOL)</div></div><div><br></div><div>
Resultados do anova(dados.VOL, test="Chi"):</div><div><br></div><div><span class="Apple-style-span" style="border-collapse: separate; font-family: Arial; -webkit-border-horizontal-spacing: 0px; -webkit-border-vertical-spacing: 0px; font-size: medium; "><span class="Apple-style-span" style="font-family: 'Lucida Console'; font-size: 13px; line-height: 17px; text-align: -webkit-left; white-space: pre-wrap; "><pre tabindex="0" class="GD40030CKR" style="font-family: 'Lucida Console'; font-size: 10pt !important; outline-style: none; outline-width: initial; outline-color: initial; border-top-style: none; border-right-style: none; border-bottom-style: none; border-left-style: none; border-width: initial; border-color: initial; white-space: pre-wrap !important; margin-top: 0px; margin-bottom: 0px; line-height: 1.3; ">
Terms added sequentially (first to last)
Df Deviance Resid. Df Resid. Dev P(>|Chi|)
NULL 23 5.0505
AREA 1 0.20472 22 4.8458 0.143019
BLOCO 2 1.33563 20 3.5102 0.000914 ***
TRAT 3 0.99568 17 2.5145 0.015220 *
AREA:BLOCO 2 0.80620 15 1.7083 0.014642 *
AREA:TRAT 3 0.44780 12 1.2605 0.195766 </pre></span></span></div><div><br></div><div><br></div><div>Qualidade do ajuste no R (summary(dados.VOL)):</div><div><br></div><div><span class="Apple-style-span" style="border-collapse: separate; font-family: Arial; -webkit-border-horizontal-spacing: 0px; -webkit-border-vertical-spacing: 0px; font-size: medium; "><span class="Apple-style-span" style="font-family: 'Lucida Console'; font-size: 13px; line-height: 17px; text-align: -webkit-left; white-space: pre-wrap; "><pre tabindex="0" class="GD40030CKR" style="font-family: 'Lucida Console'; font-size: 10pt !important; outline-style: none; outline-width: initial; outline-color: initial; border-top-style: none; border-right-style: none; border-bottom-style: none; border-left-style: none; border-width: initial; border-color: initial; white-space: pre-wrap !important; margin-top: 0px; margin-bottom: 0px; line-height: 1.3; ">
(Dispersion parameter for Gamma family taken to be 0.09543322)
Null deviance: 5.0505 on 23 degrees of freedom
Residual deviance: 1.2605 on 12 degrees of freedom
AIC: 237.67</pre></span></span></div><div><br></div><div>No SAS:</div><div>-------------------------</div><div><div>PROC GENMOD DATA = WORK.Dados;</div><div>CLASS AREA TRAT BLOCO;</div><div>MODEL VOL = AREA BLOCO AREA|BLOCO TRAT AREA|TRAT / dist = gamma link = log type1 type3;</div>
<div>RUN;</div></div><div><br></div><div>Resultados (resumidos):</div><div><br></div><div><div><font class="Apple-style-span" face="'courier new', monospace"><div>Estimativa do parâmetro de escala:</div><div><br>
</div>
<div> Scale 1 19.2056 5.4967 10.9600 33.6546</div><div><br></div></font></div><div><font class="Apple-style-span" face="'courier new', monospace"><br></font></div><div><font class="Apple-style-span" face="'courier new', monospace">Criteria For Assessing Goodness Of Fit</font></div>
<div><font class="Apple-style-span" face="'courier new', monospace"><br></font></div><div><font class="Apple-style-span" face="'courier new', monospace"> Criterion DF Value Value/DF</font></div>
<div><font class="Apple-style-span" face="'courier new', monospace"><br></font></div><div><font class="Apple-style-span" face="'courier new', monospace"> Deviance 12 1.2605 0.1050</font></div>
<div><font class="Apple-style-span" face="'courier new', monospace"> Scaled Deviance 12 24.2083 2.0174</font></div><div><font class="Apple-style-span" face="'courier new', monospace"> Pearson Chi-Square 12 1.1452 0.0954</font></div>
<div><font class="Apple-style-span" face="'courier new', monospace"> Scaled Pearson X2 12 21.9940 1.8328</font></div><div><font class="Apple-style-span" face="'courier new', monospace"> Log Likelihood -105.8333</font></div>
</div><div><font class="Apple-style-span" face="'courier new', monospace"><br></font></div><div><font class="Apple-style-span" face="'courier new', monospace"><br></font></div><div><div><div><font class="Apple-style-span" face="'courier new', monospace">LR Statistics For Type 1 Analysis</font></div>
<div><font class="Apple-style-span" face="'courier new', monospace"><br></font></div><div><font class="Apple-style-span" face="'courier new', monospace"> 2*Log Chi-</font></div>
<div><font class="Apple-style-span" face="'courier new', monospace"> Source Likelihood DF Square Pr > ChiSq</font></div><div><font class="Apple-style-span" face="'courier new', monospace"><br>
</font></div><div><font class="Apple-style-span" face="'courier new', monospace"> Intercept -245.5958</font></div><div><font class="Apple-style-span" face="'courier new', monospace"> AREA -244.5698 1 1.03 0.3111</font></div>
<div><font class="Apple-style-span" face="'courier new', monospace"> BLOCO -236.6152 2 7.95 0.0187</font></div><div><font class="Apple-style-span" face="'courier new', monospace"> AREA*BLOCO -230.4331 2 6.18 0.0455</font></div>
<div><font class="Apple-style-span" face="'courier new', monospace"> TRAT -219.0362 3 11.40 0.0098</font></div><div><font class="Apple-style-span" face="'courier new', monospace"> AREA*TRAT -211.6666 3 7.37 0.0610</font></div>
<div><font class="Apple-style-span" face="'courier new', monospace"><br></font></div><div><font class="Apple-style-span" face="'courier new', monospace"><br></font></div><div><font class="Apple-style-span" face="'courier new', monospace"> LR Statistics For Type 3 Analysis</font></div>
<div><font class="Apple-style-span" face="'courier new', monospace"><br></font></div><div><font class="Apple-style-span" face="'courier new', monospace"> Chi-</font></div>
<div><font class="Apple-style-span" face="'courier new', monospace"> Source DF Square Pr > ChiSq</font></div><div><font class="Apple-style-span" face="'courier new', monospace"><br>
</font></div><div><font class="Apple-style-span" face="'courier new', monospace"> AREA 1 3.83 0.0504</font></div><div><font class="Apple-style-span" face="'courier new', monospace"> BLOCO 2 15.70 0.0004</font></div>
<div><font class="Apple-style-span" face="'courier new', monospace"> AREA*BLOCO 2 13.45 0.0012</font></div><div><font class="Apple-style-span" face="'courier new', monospace"> TRAT 3 14.20 0.0026</font></div>
<div><font class="Apple-style-span" face="'courier new', monospace"> AREA*TRAT 3 7.37 0.0610</font></div></div><div><br></div><div><br></div><div>OBS: Não coloquei os valores das estimativas dos parâmetros e os testes.</div>
<div><br></div><div>Obrigado pela atenção.</div><div><br></div><div>Att,</div><div><br></div>-- <br>Danilo Scorzoni Ré<br>Engenheiro Florestal<br>Mestrando em Ciência Florestal<br>FCA / UNESP - Botucatu<br>(14) 8180-2494<br>
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