Books by Takamitsu Sawa
Achieving global sustainability
Gurīn sangyō kakumei
Gurīn sangyō kakumei
Gurīn shihon shugi
Gurīn shihon shugi
Ima, gimu kyōiku ga abunai!
Ima, gimu kyōiku ga abunai!
Kono kuni no mirai e
Kono kuni no mirai e
International Frameworks and T
International Frameworks and Technological Strategies to Prevent Climate Change
Nihon no "kōzō kaikaku"
Kankyō no keizai riron
Kankyō no keizai riron
資本主義は何処へ行く
資本主義は何処へ行く
"Kaikaku" no jōken
"Kaikaku" no jōken
Tomeru hinja no kuni
Tomeru hinja no kuni
Shijō shugi no shūen
Haiburiddo shin jirin
Haiburiddo shin jirin
Nihon no nanmon
Shihon shugi no saiteigi
Shihon shugi no saiteigi
Heisei fukyo no seiji keizaigaku
Posuto sangyō shakai e no teig
Posuto sangyō shakai e no teigen
Seijukuka shakai no keizai rin
Seijukuka shakai no keizai rinri (Shirizu gendai no keizai)
Songennaki taikoku
Songennaki taikoku
The growing service sector in
The growing service sector in the Japanese economy
90-nendai no sentaku
90-nendai no sentaku
Bunka to shite no gijutsu
Bunka to shite no gijutsu
Kore kara no keizaigaku (Iwanami shinsho. Shin akaban)
Sābisuka keizai nyūmon
Sābisuka keizai nyūmon
"Taikoku" Nihon no joken
"Taikoku" Nihon no joken
Gendai keizaigaku no meicho
Gendai keizaigaku no meicho
Nijisseikimatsu no shicho
Nijisseikimatsu no shicho
Keizaigaku ni okeru hoshu to r
Keizaigaku ni okeru hoshu to riberaru
Paradaimu shifuto, gijutsu to
Paradaimu shifuto, gijutsu to keizai
Topikkusu Nihon keizai 87-88
Topikkusu Nihon keizai 87-88
80-nendai ron
80-nendai ron
A generalization of the univar
A generalization of the univariate logit model and its bivariate extension
Kyokō to genjitsu
Kyokō to genjitsu
Enerugī no jukyū no keiryō bun
Enerugī no jukyū no keiryō bunseki
Nihon keizai no kōzō bunseki
Nihon keizai no kōzō bunseki
Keizaigaku to wa nandarō ka
Keizaigaku to wa nandarō ka
Keizaigaku no sekai Amerika to
Keizaigaku no sekai Amerika to Nihon
Information criteria for discriminating among alternative regression models
A generalization of the logit transformation
Information criteria for the choice of regression models
Unbiased decision rule for the choice of regression models
Minimax regret significance po
Minimax regret significance points for a preliminary test in regression analysis